Data Science Manager Resume Samples
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Data Science Manager Resume Samples
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ZK
Z Kunde
Zelma
Kunde
40745 Mayert Trail
Houston
TX
+1 (555) 493 1757
40745 Mayert Trail
Houston
TX
Phone
p
+1 (555) 493 1757
Experience
Experience
Dallas, TX
Data Science Manager
Dallas, TX
Windler-Gusikowski
Dallas, TX
Data Science Manager
- Wrangling data from multiple sources including sales, customer, and clickstream databases to create integrated views that can be used to influence business decisions
- Working with large, complex databases
- Delivering presentations to high level business stakeholders that tell cohesive, logical stories using data
- Strengthen our relationship with other disciplines and departments through effective collaboration
- Take part in recruiting, including reviewing, shaping, and evolving our process, training team members to interview effectively, and proactively engaging candidates
- Develop KPIs and measures of success in a cross-platform world
- Lead development of data tools, such as dashboards and A/B testing platforms
Philadelphia, PA
Senior Data Science Manager
Philadelphia, PA
Nikolaus, Kemmer and Kunde
Philadelphia, PA
Senior Data Science Manager
- Work cross functionally with stakeholders to ensure data-driven answers are provided and recommended
- Develop technique/algorithms/measurement for research and analysis work
- Lead the development and resolution of critical initiatives to support customer growth and provide critical decision support across Generics
- Work with other teams to identify problems in different areas where data mining/machine learning/statistics can help
- Communicate results; develop and maintain strong relationships with key stakeholders, partners and internal clients
- Manage and build out a team of motivated Analysts, Data Scientists and or Statisticians
- Drive business value; prioritize initiatives to ensure delivery of business value while continuing to build out the team’s core competencies
present
Dallas, TX
Principal Data Science Manager
Dallas, TX
Johnston Inc
present
Dallas, TX
Principal Data Science Manager
present
- Lead and grow the Data Science & Machine Learning team
- Develop the tools to best drive insights across the breadth of the Skype Consumer family of products through both aggregate and real time data streams
- Champion the use of Data Science practices across all aspects of our product and service portfolio and across our business engagements
- Help further drive our culture of Learning through building fostering exploration and discovery
- Are inherently curious, energized by large challenges, and interested in making a significant impact on a globally scaled business
- Develop data-driven insights & solutions with advanced analytics (machine learning, deep learning and statistical models) to extract insights from large proprietary agronomic data sources (millions of acres of farm data, terabytes of imagery and corresponding weather/soil/genetics data)
- Identify, implement, and present results of research on novel ways machine learning approaches can improve decisions, add value to services, and contribute to the advancement of ideas into the marketplace & agriculture
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of Memphis
Bachelor’s Degree in Computer Science
Skills
Skills
- Ability to work autonomously in the completion of deliverables
- Strong interest in customer experience and analytics-enabled digital transformations (e.g. multi-channel, segmentation, user experience, etc.)
- Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users (C-level, line managers,…)
- Strong knowledge and proven hands-on experience in personalization and information retrieval projects
- Proven ability to build, manage and foster a team-oriented environment
- Knowledge and experience with open source technologies
- Act quickly on new ideas
- A strong record of prior research and / or product development experience
- Quality Assurance and Testing
- A Research-to-Implementation Mindset: ability to spearhead a project from idea to experimentation to prototype to implementation
15 Data Science Manager resume templates
Read our complete resume writing guides
1
Data Science Manager Resume Examples & Samples
- Serving as a consultative partner to the marketing team to understand needs and conduct analyses that will help determine targeting strategy
- Wrangling data from multiple sources including sales, customer, and clickstream databases to create integrated views that can be used to influence business decisions
- Working with large, complex databases
- 2-5 years of experience in a corporate, start-up, or research environment
- Experience with Python, SQL, etc. (advanced programming languages)
2
Data Science Manager Resume Examples & Samples
- Minimum 5 years’ experience with advanced analytics with emphasis on developing analytical models to solve business challenges
- Advanced proficiency with analytical technology such as SAS, R, KNIME or similar
- Advanced proficiency with analytical programming languages such as R, Python, SAS, PMML
- Advanced proficiency with SQL
- Demonstrated strong verbal and written communication skills
- Demonstrated interpersonal skills , ability to gather requirements when the stakeholder is unsure of what they need or want
- Ability to work independently with minimal supervision and as a part of a team
- Demonstrated strong problem solving skills
- Excellent follow-through skills
- Financial services experience is preferred
- Data visualization skills, including using tools such as Tableau, MicroStrategy, D3.js, etc
- Knowledge of cloud technology, specifically Amazon Web Services or Microsoft Azure
- Experience developing, maintaining and deploying models using PMML
3
Data Science Manager Resume Examples & Samples
- Bachelor's Degree in Mathematics, Technical Science, Computer Science (or equivalent) or Engineering
- Minimum 1 year programming experience in at least one item from each
- R, SAS, Mathematica, MATLAB, Sagemath
- Python, Ruby, Perl, Java, Scala
- Bash scripting including sed, awk, cut, uniq, sort, tr
- Minimum 1 year experience of Machine Learning and Big Data technologies such as Hadoop, Mahout, Pig, Hive etc
- 6 months experience in Plotting Graphics (Scatterplots/matrix plots, Line graphs/bar charts, etc.)
4
Data Science Manager, Analytics Resume Examples & Samples
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products
- Inform, influence, support, and execute our product decisions
- Build/maintain reports, dashboards, and metrics to monitor the performance of our products
- Mine massive amounts of data and extract useful product insights
- 3+ years of experience in managing other team members
- 4+ years of experience doing quantitative analysis, preferably for a social web company
- 2+ years of experience in an analytical role in a technology company, consulting, investment banking, or product management
- 2+ years of experience with SQL or other programming languages
- Ability to initiate and drive projects to completion with minimal guidance
- Basic understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc. preferred
- Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field. Advanced degrees preferred, but not required
5
Predix Data Science Manager Resume Examples & Samples
- Strong experience in data analysis, business development or corporate strategy with heavy emphasis on data-driven decision making
- Rigorous understanding of the fundamentals of statistics applied to business challenges and enterprise analytics
- Bachelors in Computer Science, Math, Physics, Applied Economics, Statistics or other technical field
- Familiarity with decision techniques including optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models using big data technologies is required
- Proven leadership skills to provide guidance to data engineers, data scientists and analysts
- Experience with Lean/Agile/FastWorks principles
- Quantitative-oriented MBA
- A strong curiosity to learn and apply data science techniques and tools is required
- Proven ability to work within a climate of ambiguity and fast pace
- Outstanding communication and presentation skills a must
- Strong business acumen; sound business-sense and judgment with a creative mindset
- Experience in people management and building high performing teams is a strong plus, with also focus on teamwork, creative problem solving, flexibility and willingness to challenge the status quo
- Excellent interpersonal and negotiation skills are desired
- Result oriented and positive mindset
6
Data Science Manager Resume Examples & Samples
- Provide accountability, goal-setting, and strong guidance for the data scientists on your team
- Strengthen our relationship with other disciplines and departments through effective collaboration
- Practice radical candor, giving direct and actionable feedback to the people you manage, as well as to the people you don’t
- Take part in recruiting, including reviewing, shaping, and evolving our process, training team members to interview effectively, and proactively engaging candidates
- Lead development of data tools, such as dashboards and A/B testing platforms
- Scope appropriately pragmatic solutions to complex, unclear problems, with a focus on tractable approaches and actionable results
7
Data Science Manager Resume Examples & Samples
- Travel time prediction
- Telematics modeling
- Navigation, routing and landmark and way points personalization
- Customization of digital content and metadata
- Modeling and optimization of map data collection
8
Data Science Manager Resume Examples & Samples
- Execute (big) data analytics project deliverables (model development)
- Initiate and Support the development of innovative methods and applications in the field (based on market trends and eventually in collaboration with academia) and continuously develop the knowledge base of the team
- Disseminate the benefits of (big) data analytics within BASF (e.g. organization of events) and identify opportunities for the company (initiate new projects)
- Document & Track project and team deliverables and produce reports
- If applicable, mentor junior team members and support their projects with expertise and insights into BASF’s organization and projects
- 3 years of experience in mathematical consulting in an industrial context
- Experience and success working in complex analytics projects
- Experience and success working within intercultural teams in a global setting
- Experience and knowledge of statistical methods, their industrial application, and their implementation in programming languages and frameworks (e.g. Python, R, HANA, Hadoop, Spark)
- Ability to translate a business challenge into a mathematical problem and to present results with managerial implications in common language
- High degree of flexibility and an ability to learn and adapt quickly to new businesses
- Excellent team player with a superior collaboration skills
- Ability to work autonomously in the completion of deliverables
- Knowledge of project management concepts and tools is a plus
- Hands-on data analytical experience in a chemicals business context is a plus
- Expertise in the development of multi-user analytical IT solutions is a plus
9
Data Science Manager Resume Examples & Samples
- Manage and Lead Analytical projects to drive insights and actions to improve operational efficiencies, customer experience, revenue growth and profitability as part of the Digital Transformation
- Provide vision and leadership to a strong team of about 8 engineers
- Manage schedules, be accountable and deliver projects on time in a fast paced agile environment
- Contribute technically and own architectural oversight of system/services
- Build a culture focuses on speed and agility, avoiding silos and focuses outward on the customer
- Selected candidate must possess strong communications skills (Verbal and written) and should be able to demonstrate ability to be able to present complex technical solutions to large audiences
- Manage teams consisting of both full-time employees and consultants as well as senior level technical individuals
- Align technology to business strategy, and proactively drive a technical direction throughout the organization
- Drive results within budget, time and quality
- Experience with Quantitative and Qualitative data analysis
- Familiarity with predictive and prescriptive analytics
- Experience of Data Warehousing and Teradata SQL
- Must have working knowledge of machine learning techniques, distributive computing tools (Spark, Hive, etc) and Hadoop
- Working knowledge of self-serve analytic tools for business users
- Ability to package analysis in clear and concise reports and presentations
- Successfully leading or managing Software projects/development teams
- Experience handling high pressure customer end user requests
- Significant experience in software development cycle
- Determined and committed to perform at highest quality and excellence
- Highly energetic and will strongly believe in on-going learning in order to optimally exploit his/her potential at workplace
- Able to present his/her point of view in a positive and effective manner
- Willing to take personal responsibility for ensuring customer satisfaction
- Able to seek input from others and actively listen to concerns and alternate points of view
10
Halo Insurance Data Science Manager Resume Examples & Samples
- Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queueing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained
- Leveraging practical or project driven experience to apply moderately complex mathematical or statistical methodologies
- Performing as a team leader, leading teams to generate a vision, establish direction and motivate members, create an atmosphere of trust, leverage diverse views, coach staff, and encourage improvement and innovation
- Leading, training and working with other data scientists on designing effective analytical approaches taking into consideration performance and scalability to large datasets
- Designing and building analytical procedures that solve complex requirements
- Generating status updates and reporting output for leadership
11
Data Science Manager Resume Examples & Samples
- Support trading and planning teams in the creation of campaign specific digital KPIs to inform ongoing campaign optimization
- Design and manage/support projects including multi-channel attribution, CRM onboarding, online to offline sales studies, and digital audience verification research
- Act as a resource to set up and troubleshoot trafficking procedures and ad ops tracking & implementation issues
- Provide Trading team with QA and optimization reporting
- Provide custom reporting (spend analysis, publisher performance, cross-campaign reports, etc.)
- Develop Programmatic-specific Insights (audience insights, cookie-level “big data” analytics, custom DMP reporting, etc.)
- Manage and develop diverse team capable of executing variety of insights and analytics tasks under deadlines, within an extreme-volume data environment
- Manage project delivery and technical issues ranging from analytic and statistical techniques to approaches for third-party data integration
- Automate data process through SQL scripts
- Manage tag management vendors
- Manage relationships with junior level clients
- Write POVs to provide thought leadership on industry topics
- Supervise and train junior team members
- Support in meeting and evaluate research and DMP vendors
- Manage basic statistical analyses, provide guidance on best practices
- Three years of experience
- Candidates should be knowledgeable in audience buying
- Exceptional organizational skills, multi-tasking capabilities and detail oriented
- Strong analytical abilities and quantitative skills, including math proficiency
12
Data Science Manager Resume Examples & Samples
- Lead a team of talented data scientists solving a variety of mathematical problems
- Mentor and guide the professional and technical development of your team members: help develop their careers; assign them to projects tailored to their skill levels, personalities, work styles, and professional goals
- Create plans for prioritizing technical and resourcing challenges in your organization
- Maintain a balance between building principled, mathematically rigorous solutions and shipping things quickly
- Work with data scientists, engineers and product managers to maintain a prioritized backlog and create short term and long term goals
- Unblock your team members; help them build the necessary relationships across Lyft functions including Support, Marketing, Ops and BizDev
- Build teams that are collaborative, inclusive, and respectful of each other
- Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members
- Instill a spirit of continuous improvement in the team’s code, architecture, and processes
- Work closely with the Lyft recruiting team to hire high potential candidates from diverse backgrounds
- M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field
- 4+ years of hands-on technical or research experience
- 2+ years of experience managing a team of data scientists
- Penchant for solving unstructured and non-standard mathematical problems
- Willingness to collaborate and communicate with others to drive projects to completion
- Passionate about mentoring junior team members, and multiplying impact through technical leadership
- Inclined towards thinking ahead and building for the future
13
Data Science Manager Resume Examples & Samples
- Strong quantitative background: PhD strongly preferred
- Familiarity with technical tools for analysis: Python (with Pandas, etc.), SQL, Stata, Matlab, R
- A Research-to-Implementation Mindset: ability to spearhead a project from idea to experimentation to prototype to implementation
- Driven and focused self-starter, great communicator, amazing follow-through - you aggressively tackle your work and love the responsibility of being individually empowered
- A preference for quality over quantity - you get the math right and aspire to build the right solution; you like a team that holds each other to a high bar
- You want to change the world. We’re not just another social web app, we’re moving real people and assets and reinventing transportation and logistics globally
- A desire to work with sharp, motivated co-workers in a fun office environment
14
Global Data Science Manager Resume Examples & Samples
- 30% - Challenge our current best thinking, test theories, evaluate feature concepts and iterate rapidly as it relates to use and analysis of internal data. Bring new strategic insights to Cargill’s commercial enterprises as well as trading businesses through leading data analysis, determining project scope and deliverables, and developing advanced tools and standard schemas to leverage proprietary data sources
- 30% - Build and leverage a portfolio of projects to meet the business strategy while ensuring data science resources are going towards the highest value projects
- 20% - Continuously seek out industry best practice and skills development to create new capabilities for data analytics at Cargill to drive better trading and business decisions
- 20% - Provide thought leadership to Cargill senior managers, and mentoring to data scientists and database specialists in the team
- Strong knowledge of databases and/or data models, Statistics (Regression, Clustering, Decision trees, Hyper graphs etc.), Simulation, scenario analysis, etc
- At least 4 years of experience in directly supervising a team working in analytics/ data science
- At least 7 years of experience in the data science field
- History of demonstrating commercial value of analytics
- Excellent communication skills, both written and verbal, to wide variety of audiences, including at the executive level
- Must be self-motivating and driven
- Business savvy and ability to handle significant complexity
15
Data Science Manager Resume Examples & Samples
- Outstanding analytical and problem solving skills. Superior communications skills, both verbal and written
- Extensive knowledge and experience in at least one of the following areas: data mining, web mining, machine learning, statistics, business intelligence/customer intelligence, user modeling, information retrieval, databases, data warehousing, OLAP, data processing (ETL), e-metrics/measurement, parallel and distributed computation (two or more areas are preferred). - Strong theory/algorithm background and very good understanding on how to apply advanced knowledge to solve real problems
- Experience/knowledge with various data analysis tools, data mining tools, and statistical packages
- Extensive data analysis/processing experience (minimum 3 years, preferred 5 years)
- Experience on web domain is a plus
- Bachelor's or Masters degree in Computer Science or Statistics or a related field (PhD preferred)
16
Principal Data Science Manager Resume Examples & Samples
- Lead and grow the Data Science & Machine Learning team
- Drive a deep understanding of user behaviors across all products and services to empower product managers, designers, and marketers to better target our customers
- Explore and build new tools to model, test, and drive innovation across our business and customer experiences
- Help further drive our culture of Learning through building fostering exploration and discovery
- Have a deep expertise in data science with a strong understanding of analytic tools such as R, Python, RapidMiner, SAS, SPSS, & KNIME, and their use across a wide variety of data sets
- Have 5+ years managing a team and mentoring data scientists, business analysts, program managers, and programmers
- Have earned a Ph.D or M.S. degree in one of Computer science, Data Science, Statistics, Physics, Computational Biology, Bioinformatics, etc
- Demonstrate strong communications and presentation skills, and the ability to work across teams, executives, and subject matter experts to drive results
17
Data Science Manager Resume Examples & Samples
- Extract actionable insights from huge volumes of rich data using data mining, statistics, and database techniques. The goal is to measure/understand user experience, system performance, and business health in order to generate actionable insights that improve search systems and increase user satisfaction
- Research and exploration in the areas of data mining, machine learning, information retrieval, and signal processing in support of new features
- Work with other teams in to identify problems in different areas where data mining/machine learning/statistics can help. Explore and develop solutions to these problems. Act as an expert in the area of data mining/machine learning/statistics
- Develop techniques/algorithms/measurement for the research and analysis work mentioned above
- Extensive knowledge and experience in at least one of the following areas: data mining, web mining, machine learning, statistics, business intelligence/customer intelligence, user modeling, information retrieval, databases, data warehousing, OLAP, data processing (ETL), e-metrics/measurement, parallel and distributed computation (two or more areas are preferred)
- Extensive data analysis/processing experience (minimum 3 years, preferred 5 years). Experience on web domain is a plus
- Bachelor’s or Master’s degree in Computer Science or Statistics or a related field preferred (PhD preferred)
18
Data Science Manager Resume Examples & Samples
- Degree in a relevant field like statistics, computer science or applied maths, physics or relevant subjects or 5+ years of experience in computer science, applied mathematics, or other quantitative/computational discipline
- 5+ years of experience with real data
- 5+ years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation
- 5+ years of experience with statistical computing tools like R, SAS, and SPSS
- Experience with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading)
- Experience in text mining/NLP
19
Data Science Manager, Analytics Resume Examples & Samples
- 3+ years of experience in managing other team members in a formal or informal capacity
- 4+ years of experience doing quantitative analysis
- Ability to communicate the results of analysis
20
Data Science Manager Resume Examples & Samples
- Bachelor of Science or equivalent work experience in a related field
- Six or more years of relevant experience
- Strong Network foundation in OSI Layer 1 – 7. Able to formulate complex relationships as the Layer 1 and 2 levels and correlate Layer 3 into build logical data models which can be used to represent a network topology spanning multiple layers
- Able to correlate Network KPIs to a topology to isolate network issues using Real-Time processing engines such as Apache Storm and Spark
- Able to build on a background in Network Products like Transport, VoIP, FiOS Video/Data/Voice to enable tools that fault isolate network issues which impact the customer’s performance
- Track record of leadership across multiple teams that consistently deliver complex tools, with zero defects and doing what it takes to make the committed schedule
- Able to leverage a strong technical understanding of UNIX, Oracle, Java and related programming languages to lead multiple development teams. Including: 1) Working with teams in multiple geographies. 2) Dealing with significant time zone differences as part of the working environment (8 – 12 hours difference with teams in India). 3) Able to help the team break problems down into manageable / solvable chunks. 4) Able to efficiently prioritize and track issues that the team is encountering and able to break down barriers
- Commits aggressively toward the business’s requirements and always delivers against those commitments
- Led teams utilizing a strong understanding of Big Data technology including Hadoop, Storm/Kafka, Sparc, Hive, HDFS and other emerging Hadoop open source products
- Strong understanding of network devices like Routers, OLT, ONT, LCR etc. and related Key performance Indicators like Packet Loss, Jitter, Network Latency, Errors In/Out etc. Track record of applying your knowledge of the network to delivering solutions to the business which help monitor and improve the network’s overall health
- Strong Data Science background and able to apply analytic skills to business problems using R, RStudio and Tableau
- Strong understanding of DevOps tools and their application to CI/CD. Have a one year track record of delivering solutions through a DevOps processing – including delivering weekly releases
- Experience with process and system improvements to enhance Customer experience
21
Data Science Manager Resume Examples & Samples
- Work with consulting teams to understand business problems, translate them into data science projects and appropriately prioritize and execute
- Help to increase consulting staff’s knowledge of Advanced Analytics and Data Science
- Develop and/or implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets
- Explore, model, mine, and experiment with data to answer critical business issues
- Support and train consulting teams in use of data and visualization tools to generate and communicate insights
- Train relevant AAG team members to support big data/data science initiatives
- Develop relationships with external data and analytics vendors and interact with as needed
- Provide training, documentation and other assistance to Bain’s consulting staff to support and expand the use of data science analytics
- Keep abreast of new and current data science techniques and technologies
- Advanced degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics or Information Sciences such as business analytics or informatics
- 6+ years’ experience in data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
- Track record of leading and collaborating on strategic initiatives
- Ability to collaborate with people at all levels and with multi-office/region teams
- Proficiency in some combination of SQL, R, Python, Julia, Java, Scala
- Expertise in extracting and transforming large datasets; experience with ETL tools like Informatica, DataStage, Ab Initio, SSIS, Talend, and Pentaho desired
- Demonstrated experience with database technologies (e.g. Oracle, SAP, DB2, Teradata, MS SQL Server, Vertica, Greenplum, SAP HANA, MySQL)
- Data modeling, data architecture, MDM, and data governance experience a plus
- Experience with NoSQL database technologies (e.g., MongoDB, Cassandra, CouchDB) a plus
- Travel required
- Strategic consulting experience a plus
- Experience with dashboards, business intelligence tools, and visualization solutions a plus
22
Data Science Manager Resume Examples & Samples
- 5-10 years of relevant working experience, preferably in the application of data science to the healthcare industry
- Data science experience including the planning, execution, and delivery of data science products
- Experience with multiple machine learning approaches, demonstrated understanding of the statistical and mathematical foundations of major methods
- Functional design skills, understanding of open source software design patterns and data science models
- Software engineering skills, preferably in Clojure or Python
- Demonstrated ability to create actionable displays and dashboards based on multivariate data using best practices
- Demonstrated success in turning information into guidance
- Expert knowledge of data science concepts
- Ability to rapidly explore new technologies to deliver innovative solutions
- Ability to exercise sound problem solving skills and deliver high value solutions
- Strong written and verbal communication skills, strong presentation skills
- Comfortable performing many project roles without concern of positional appropriateness
- Ability to influence strong personalities
- Lead, influence, and mentor team in agile projects
- Leadership and mentoring of data science team members
- Work with business product owners and stakeholders across the organization to accomplish objectives
- Use a consultative approach to understand business and technical goals to help teams across varied groups develop and refine strategy and solution
- Participate in the data science process, review and approve models and solutions for delivery
- Hiring and professional development of new and existing data scientists
- Bachelor's degree in mathematics, statistics, computer science, engineering, scientific or related field required, Masters of PhD preferred
23
Data Science Manager Resume Examples & Samples
- The ability to lead a diverse team that uses technical tools from Operations Research, Statistics, Machine Learning, and Economics
- At least two years experience successfully leading a technical team
- The ability to coordinate with diverse stakeholders from data science, product, engineering, and city operations
- PhD strongly prefered in a quantitative field such as Operations Research, Statistics, Management Science, Computer Science or Economics
- Familiarity with technical tools for analysis and engineering implementation
- A desire to work with sharp, motivated co-workers in a fun environment
24
Data Science Manager Resume Examples & Samples
- Data Science team management & business development
- Understand Accenture assets and philosophy around Analytics and pro-actively look for relevant business opportunities
- Participate in business development work effort and connect to global analytics network to build tailored solutions for our clients
- Help build & steer the local team while actively connecting with global analytics network internal and external to Accenture
- Provide subject matter expertise, industry perspective and relevant point of view to drive customer value
- Coordinate the delivery of multiple customer analytics assignments, agile sprint deliveries for Accenture clients including business interpretation to models and turning insights into actions
- Typically, you will be involved in segmentation projects, targeting, churn prediction, cross & up sell, retention initiatives, forecasting, optimization where you contribute to workshops/interviews bridging the gap between data analytics and business outcome
- Steer and coach Accenture teams across the full data mining steps from data preparation, modelling & interpretation (econometric modeling, predictive analytics and data visualization by using advanced tools such as SAS, R or others or any related visualization tool)
- Leverage Accenture’s international network and knowledge capital for Analytics by using proven assets and methodologies
- Strong interest in customer experience and analytics-enabled digital transformations (e.g. multi-channel, segmentation, user experience, etc.)
- We’re looking for a bright individual who can go beyond pure analytics, doing business consulting (e.g. defining analytics value and agenda) and people management
- An individual that can ‘do’ analytics but can also ‘inspire’ others with a clear point of view and vision
- 6+ years of experience in managing and delivering advanced analytics projects, a few years of proven consulting skills in different industries (a.o. Financial Services) and first experience in people management
- Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users (C-level, line managers,…)
- Knowledge of Big Data technologies such as Hadoop, Pig, Hive, Aster, etc. is considered a plus
- Master degree in Econometrics, Marketing, Engineering or Business Administration with a specific emphasis on statistics/data mining
25
Senior Data Science Manager Resume Examples & Samples
- Build reports, dashboards, and other analytical tools to help understand the state of the product and the business
- Define telemetry events, metrics/KPIs and evaluation criteria for measuring business and experimental success
- Work cross functionally with stakeholders to ensure data-driven answers are provided and recommended
- Manage and build out a team of motivated Analysts, Data Scientists and or Statisticians
- Link our predictive analytics to drive profitable sales that align with our strategic priorities
- Research and explore in the areas of data mining, machine learning, information retrieval, and signal processing in support of new features
- Work with other teams to identify problems in different areas where data mining/machine learning/statistics can help
- Develop technique/algorithms/measurement for research and analysis work
- Extract actionable insights from large volume rich data using data mining, statistics, and database techniques with the intended goal to measure/understand user experience, system performance, and business health in order to generate actionable insights that improve search systems and increase user satisfaction
- Ecommerce or retail analytics experience
- Supervisory/Management experience
- SQL Experience, preferably with SQL Server
- Outstanding analytical and problem solving skills
- Experience/knowledge with various data analysis tools, data mining tools, and statistical package
- Extensive data analysis/processing experience (minimum 5 years, preferred 8 years)
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics or a related field preferred
- Strong Data Science background with the ability to apply analytical skills to business problems
- Experience with process and system improvements to enhance Member experience
26
BG Data Science Manager Resume Examples & Samples
- Very good interpersonal relationship skills and international mindset
- Entrepreneur and curious
- Hands-on approach to supporting Digital Enterprise initiative throughout the Business Group
- Operating Tools: SPSS, PMQ, BrainCube, Hadoop, SPARK, MapReduce, SQL, NoSQL
- Programming languages: R, JAVA, SCALA, RUBI, Python, R, Matlab, C ++
- Recognized experience and ability in data analytics, with at least 10 years of professional experience
- Master’s Degree (BAC +5)
27
Data Science Manager Resume Examples & Samples
- 2+ years experience in leading, scaling and growing a data science team
- Experience in delivering, scaling, and owning highly successful and innovative data science products
- An ability to connect the deep domain expertise of the researcher with the pragmatism and scrappiness of the entrepreneur - you’re a true generalist
- A “driver” personality - biased toward action, great collaborator and master disambiguator / simplifier - constantly pushing toward clarity and delivery
- Grittiness. You persevere when others fall away
- Preferred: Domain expertise in time series modeling, anomaly detection, signal processing, machine learning, failure analysis, or outlier detection methods
28
Principal Data Science Manager Resume Examples & Samples
- Develop data-driven insights & solutions with advanced analytics (machine learning, deep learning and statistical models) to extract insights from large proprietary agronomic data sources (millions of acres of farm data, terabytes of imagery and corresponding weather/soil/genetics data)
- Generate hypothesis and recommend data collection needs that has the potential to address farmer’s needs
- Identify, implement, and present results of research on novel ways machine learning approaches can improve decisions, add value to services, and contribute to the advancement of ideas into the marketplace & agriculture
- Conduct independent research, extend or improve in-house algorithms & collaborate with other data scientists to improve predictive capabilities
- Break down complex business and technical problems into opportunities for analytical study
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Data Science Manager Resume Examples & Samples
- Manage, mentor and develop the Product Data Science team
- Collaborate with Product Owners to develop a product data-driven strategy
- Oversee architecture design and technical implementation to guarantee scalable solutions
- Access and analyze data to generate insights and make proactive recommendations
- Formulate success metrics for project success (customer feedback, engagement) and guide the Data Science to optimize customer engagement
- Plan and oversee experimentation over Data Science products
- Coach the Data Science team developing models and data-driven solutions that add material lift to customer engagement optimization
- Communicate complex solutions in a clear and understandable way to both experts and non-experts
- Promote and foster a data-driven, customer centric culture at Farfetch
- Minimum of 6 years’ experience in a Data Science role, preferably working within a Retail and E-commerce environment. 3+ years managing and developing talent
- Strong knowledge and proven hands-on experience in personalization and information retrieval projects
- Experience setting the direction of data science projects with multiple stakeholders
- Passion for proactively identifying opportunities through data analysis and modeling
- Ability to communicate findings and data science concepts clearly to both technical and non-technical audiences. Excellent organizational skills and deep understanding of mathematical and statistical concepts and techniques
- Senior-level programming experience in Python, Scala or Go
- Experience in designing and scaling data science solutions to large audiences and high-traffic applications
- Interest and passion for big data technologies (e.g., Hadoop, Mahout, Spark, Pig, Hive)
- Strong English language, both written and spoken
- MS or PhD in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Economics, Social Sciences etc
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Data Science Manager Resume Examples & Samples
- Build & Lead a high performance data science team to support Zebra’s Enterprise Asset Intelligence strategy
- Drive a comprehensive analytics strategy including data collection and mining, data engineering, predictive analytics, and machine learning
- Develop predictive models and analytic capabilities based on machine learning, mathematical modeling, pattern recognition, and data mining techniques
- Conversant in Deep Learning
- Contribute to the design, develop, and delivery of data-driven applications & solutions with broad industry application and aligned with business and market requirements
- Strong partner to Product Development, Program Management, and Business Development in execution of strategy
- Thought Leadership and spokesperson for both internal and external audiences as needed
- Master's degree or Ph.D. in Statistics, Mathematics, Computer Science, or Engineering
- Proven ability to recruit and lead high performance teams
- Expertise in data visualization and storytelling to translate complex data into customer insight
- Demonstrated expertise in analytic development tools, statistical tools, and programming languages
- Expertise in modeling, feature extraction, and the development and application of predictive analytics, prescriptive analytics, and machine learning
- Hands-on advanced proficiency in handling and analyzing large data sets
- Background in computer vision or location technologies would be a plus
- Current in new data science technologies and industry trends
- 4-8 years of directly related experience
- Commercial experience in Retail, Healthcare or Transportation & Logistics would be a plus
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Data Science Manager, Internet Services Team Resume Examples & Samples
- Strong working knowledge of data mining algorithms including classifiers, clustering algorithms and anomaly detection techniques
- Familiarity with Big Data tools like Spark, Hive etc
- 2+ years experience in hiring & leading team of data scientists
- Ability to coach data scientists and a drive to invest in team’s success
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Data Science Manager Resume Examples & Samples
- Lead a team of analysts in providing rich analysis, reporting and recommendations to guide the evolution of our customer experience
- Drive hiring, onboarding and career development for marketing analytics data scientists and analysts
- Engage broadly with Marketing and Analytics Program Managers to frame, structure, and prioritize business problems where analytic projects or tools can have the biggest impact on Nordstrom’s business
- Perform large-scale statistical research, analysis, modeling and forecasting for marketing
- Research new analytical methods and tools to improve the efficiency and relevance of marketing
- Create best practice processes, facilitate cross-functional information sharing and training for team members
- Keep self and team educated on emerging trends in marketing measurement and impact of technology changes and launch of new initiatives
- 5-10+ years’ experience in analytics with demonstrated ability to conduct and interpret complex quantitative and qualitative analyses
- Strong familiarity with data modeling techniques and technologies and experience with advanced analytic techniques such as regression analysis
- Knowledgeable and proficient with the following; R, Python, SAS, Cloud and/or AWS. Databases including; Oracle and/or Teradata
- Deeply rooted passion for delivering great customer experience and data-driven business decision making
- Demonstrated ability to motivate and inspire a diverse group of individuals
- Experience with enterprise-level web analytics tools (e.g., Adobe, IBM, Google) in addition to solid experience leveraging other research methods (usability, surveys, market research) to find the right answers
- Outstanding ability to clearly communicate data, context, and implications to business stakeholders
- Strong data visualization skills (Tableau experience a plus)
- Relevant multichannel retail experience preferred
- Bachelors’ degree required, Masters preferred, with emphasis on marketing engineering, statistics, information systems, mathematics, consumer research, or related field
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Senior Data Science Manager Resume Examples & Samples
- Comprehensive understanding of McKesson’s data environment; design data strategies; perform data extract and reporting activities
- Design and build data solutions conducive to business insights, reporting and analytics
- Lead the development and resolution of critical initiatives to support customer growth and provide critical decision support across Generics
- Understand problems from the business point of view, build and execute solid analytics work plans, gather and organize large and complex data assets, perform relevant analyses (data exploration and statistical modeling), automate working streams, foster teamwork in interactions, develop client relationships with client counterparts, and communicate hypotheses and findings in a structured way
- Communicate results; develop and maintain strong relationships with key stakeholders, partners and internal clients
- Drive business value; prioritize initiatives to ensure delivery of business value while continuing to build out the team’s core competencies
- Able to formulate and test hypotheses
- Expert level skills in SQL
- Proficient in a Linux environment
- Ability to communicate effectively and professionally, delivering impactful solutions and presenting work in a concise and thoughtful manner
- Two years of professional experience as a Data Scientist with success in deploying real-world models
- Ph. D. or Masters/Bachelor with relevant experience. The degree should be in computer science, applied mathematics, statistics, machine learning, chemistry, or a related field with emphasis on analytics
- Experience managing an analytics team: proven record of guiding the production of analytics solution from scratch
- Experience in core analytics methods (one or more of the following): Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g. logistic regression, linear regression, Time Series analysis: e.g. ARIMA, etc., Machine learning methods: e.g. LCA, Random Forest, SVM
- Self-motivated, highly organized with the ability to multitask and prioritize workload
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Principal Data Science Manager Resume Examples & Samples
- Define and analyze KPIs in support of cross-organizational Rhythms of the Business (RoB)
- Conduct ad hoc analyses to inform data-driven decisions
- Develop statistical & ML models that further our understanding of customers and their behaviors
- Design and conduct experiments to test hypotheses and measure lift
- Foster a data-driven culture by solving cross-organizational problems, sharing best practices, and providing training
- Establish a framework for organizing-and deriving value from-the broader team’s many activities, based upon business objectives of C+E and the partner organizations we work with
- Create a strategy for engagement and growth with plans for ongoing investment
- Drive cross-team, cross-division, and cross-company initiatives, as appropriate
- Manage a regular, cross-team review cadence to track performance against the team’s business and strategic goals
- Investigate opportunities for growth and deviations from targets to drive both business action and organizational efficiency
- Maintain a strong relationship and regular communication with all stakeholders, including senior management
- 5+ years of Program Management, Solution Management, IT, or Business Consulting in a technical environment
- Functional knowledge of cloud computing and online business models
- Demonstrated understanding of information systems; system architecture, data management processes, and data quality assurance
- Proficient with T-SQL and Excel
- Demonstrated ability to translate business priorities and strategies into actionable, measurable plans
- Proven ability to build positive working relationships across groups and drive accountability for delivery without explicit authority
- High attention to detail, including meticulous forensic analysis skills
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Accenture Research Data Science Manager Resume Examples & Samples
- Help develop a strategy for boosting the role of data science in current and future thought leadership for Accenture Research
- Represent Accenture Research in client-facing situation, for instance in proposals and live presentations where a core part of the research solution resides in data science
- Develop and write research proposals and market and sell the capability to clients internally. Collaborate in raising awareness and understanding of data science research tools and outputs in Accenture and Accenture Research (text analytics, sentiment analysis, data-wrangling, machine learning, web-scraping etc.)
- Assist in growing data science skills in the team, ie. organizing learning activities, create x-pollination opportunities
- Post-graduate degree/ MA/PhD or equivalent
- Minimum of 8 years research experience
- Experienced Manager or similar
- Global / large private corporation or institution, research think tank or recognized research government agency
- Financial knowledge and skills
- Demonstrated leadership in professional setting; either military or civilian
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Data Science Manager Resume Examples & Samples
- Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors
- Closely follows the strategic direction set by senior management when establishing near term goals
- Interacts with senior management at a client and/or within Accenture on matters where they may need to gain acceptance on an alternate approach
- Has some latitude in decision-making. Acts independently to determine methods and procedures on new assignments
- Decisions have a major day to day impact on area of responsibility
- Manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
- Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the data science, mathematics, economics, statistics, engineering and information management
- Minimum of 6 years of recent experience with consulting or implementing transformational change in the healthcare industry
- Minimum of 4 years’ experience leading transformational programs
- Minimum of 7 years’ delivery experience in applying advanced modeling techniques in a business environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, big data platforms, SQL, etc.)
- Minimum 4 years’ experience with predictive analytics tools, including at least two of the following: R, SAS, Alteryx, Python, Spark, and Tableau
- Experience with evolving approaches and technologies such as Big Data, Artificial Intelligence, Machine Learning, Cognitive Systems, and Robotics and corresponding contribution to advancing analytics maturity for clients
- Desire to work in an information systems environment
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Data Science Manager Resume Examples & Samples
- Manages a small team of data scientists
- Defines the strategic direction under the guidance of the CDO, trading off between competing priorities
- Translates business challenges into data science problems and applications
- Works in partnership with the Technology team on evolving data architectures
- Works in partnership with regional Analyst Teams to scale identified paths to ROI
- Promotes data science across the business globally
- Supports, guides and mentors the team in their daily work
- Designs algorithms, builds models and prototypes solutions for multiple business areas
- Communicates complex solutions in a clear, understandable way to non-experts
- Advanced Degree in Science (e.g.: Software Engineering, Mathematics, Statistics, Computer Science or related fields)
- 2 to 3 years’ experience in a Data Science or Analytics Manager role
- Demonstrated ability in delivering value within a business context via application of analytics and advanced data-driven methods
- Demonstrated ability in managing people and developing top talent
- Experience in business communications and influencing as well as collaboration with IT
- Experience in setting strategic directions and running complex data science projects with multiple stakeholders
- Significant experience working with mid to large scale data sets, extract insight via statistical or predictive models
- Experience with software development and database query languages
- Good understanding of general software design principles and methods
- Passionate about data and structured solutions
- Creative, innovative thinker with outstanding problem-solving skills and a passion for advanced analytics
- Happy to get involved in solution prototyping and software development
- Meticulous and thorough
- Hungry to learn, innovate and evolve
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Data Science Manager Resume Examples & Samples
- Work with enterprise architects, product architects, value owners, project managers, delivery leads, data scientists, engineers and support team members to bring big data R&D projects into Production
- Managing the Data Science team’s backlog by collaborating with value owners and product architects
- Attend dependent team standups as necessary
- Remove or escalate roadblocks hindering progress
- Contribute to product roadmaps that will utilize big data (includes and incorporates technical, schedule, business/delivery team)
- Represent the teams work on a Product Planning Board – maintain and ensure accuracy of work represented
- Release Management - bring technical & business priorities into one plan (include dependency management)
- Proactively communicate to support, training and other business stakeholders for upcoming releases
- Manage a high performing team – monitor health, sustainability, cross team dynamics, value delivered
- Establish a team work system – Kanban, Scrum, etc. as decided by the team
- Bachelor's degree or equivalent experience in a related field
- 5+ years IT management5+ year Project management/leadership experience
- Demonstrated expertise in Agile / Scrum methodology
- Software engineering experience is a benefit
- Hands-on expertise with Big data technologies is benefit
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Associate Data Science Manager Resume Examples & Samples
- 2) Design research and analytic frameworks in the context of overall project objectives such as (but not limited to) media effectiveness, consumer engagement, and business model optimization
- 3) Execute research and analytics, including data sources identification, processing, model/algorithm development, turning insights into actionable recommendation, presenting actionable recommendation and drive actions to business value creation
- 5) Participate in and lead P&G analytic capability building program
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Data Science Manager Resume Examples & Samples
- Participating in business engagements focused on customer and consumer analytics
- Understanding key business issues driving machine learning implementations
- Developing specifications and requirements to extract data from current and third-party systems, as well as for interfacing client systems with analytic models
- Assisting in research of new machine learning techniques, ideas, and applications; industry research given client situation; summarizes findings
- Identifying short list of candidate software, hardware and vendor solutions that could meet requirements
- Designing and implementing predictive model development, related algorithms and interfaces to analytics results
- Guiding data science projects through from inception and planning to development, implementation and evaluation
- Preparing communications and project deliverables
- Bachelor’s Degree or equivalent in statistics, applied mathematics, computer science, actuarial science or related field of study. Advanced degree (MA/PhD) in quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science or Engineering preferred
- Experience in machine learning packages and statistical programming languages such as WEKA, Matlab C, R, Python. Extensive knowledge of tools for data mining and statistics (SAS, SPSS)
- Experience with Google Analytics and DoubleClick for Publishers preferred
- Proficient in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ideally some of this data would come from embedded sensors, for use in applications such as predictive maintenance
- Ability to communicate complex quantitative analysis to peers in a concise and actionable manner
- Ability to work independently and manage multiple task assignments while also having the ability to work in a team environment
- Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
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CIB CAO Data Science Manager Resume Examples & Samples
- Manage and deliver large scale analytics (ML, NLP, Data) projects across the CIB
- Lead / drive working groups across functions and regions through innovative solutions, leadership, people, communication and influence
- Assist CIB DS on strategic and scalable growths of the team from all angles including executional, cultural, and operational
- Form close partnerships with a variety of groups within CIB as well as firmwide including LOBs, CAO office, technology, FinTech and other analytics groups
- Materialize commercial and strategic value of CIB DS projects by monitoring and tracking KPIs
- Recalibrate and update existing models/solutions when needed
- Ensure timely delivery, establishing ownership, and adoption of solutions to achieve CIB stated targets
- Assess quality of solution/Build agreement around & augment the implementation plans to increase ability of CIB to achieve targets
- Work to find a solution where one does not exist or additional analysis is required
- Maintain effective communication with the Corporate and Investment Bank community with the purpose of informing interested parties on all key milestones, accomplishments, programs, activities and overall successes
- Coordinate all program updates for senior leadership and key stakeholders
- Extensive professional experience in data science
- Master’s or PhD degree from a leading academic institution in a quantitative field such as engineering, statistics, computer science, and predictive analytics
- Result driven, and client-focused mindset with experience delivering analytics solutions to both technical and non-technical end users
- Comfortable with “fail fast” approach with ability to learn quickly and iterate
- Possesses both quantitative (math, systems, cs, data) and qualitative (communications, structured thinking, decision making, stakeholder management, high EQ) skills critical to drive projects highly technical in nature to success
- Strong team player who is comfortable and enjoys a player-coach role in project execution as well as building a fast growing data science organization
- Be able to bridge the gaps between technical and business worlds and ability to explain highly technical concepts in plain English and vice versa
- A strong sense of ownership and responsibility
- Creative thinker, problem solver with entrepreneurial mindset and “think outside of the box” skills
- Experience in leading and driving strategic initiatives in a large multinational scale is a plus but not required
- Ability to communicate clearly and confidently; able to influence internal and external stakeholders; confidence in communicating with senior management
- Capacity to think laterally and convey an understanding of the big picture
- Self-starter with ability to manage own workload and deliverables
- Ability to lead / drive a working group across functions and regions
- Ability to manage / partner with Analysts and Associates to complete deliverables and recommendations in a timely manner
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Data Science Manager Resume Examples & Samples
- Data Interpretation / Insight Analysis
- Statistical Modeling
- Programming (SAS, SQL, R or other)
- Data understanding
- Computer Science Techniques (e.g. Machine Learning)
- Analytical Technology
- Change Management
- Data Analysis and Modelling
- Financial Analysis
- Dunnhumby Capabilities and Solutions
- Support teamwork and create team spirit
- Build loyal relationships with colleagues and our clients and partners
- Act quickly on new ideas
- Set challenging goals
- Support and motivate
- Drive delivery excellence
- Develop and deliver practical solutions to problems
- Support learning and innovation
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Data Analytics / Data Science Manager Resume Examples & Samples
- Conceptualize and lead a range of product insights, multivariate test analysis and data projects to help with product initiatives across all the business areas. Responsible to provide direction, day-to-day management and analytics review to product analytics team
- Lead small to large projects that inform both day-to-day tactical decisions and long-term strategic vision. Interpret and present the findings to product managers, executives, and other stakeholders
- Lead, hire, manage and mentor a team of analysts
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Data Science, Manager Opportunities Resume Examples & Samples
- Strong analytical skills and decision sciences experience, relevant skills in big data and machine learning is preferred
- Strong relationship and collaboration skills – proven ability to work with multiple business partners
- Preferably 1+ year of Decision Science experience
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Healthcare Data Science Manager Resume Examples & Samples
- Lead the creation of vision, strategy, and execution plan on model automation, self-learning algorithms, recommendation systems, and automated test-and-learn ecosystems
- Be a trailblazer in the implementation and deployment of Machine Learning algorithms, including supervised, unsupervised and unstructured supervised methods
- Deep collaboration with the IM, IT and other members of analytical community to drive unique and innovative machine learning analytics and data science solutions, including data, tools, methods, and infrastructure
- Keep in tune with industry trends, techniques, tools and use cases to steer the internal improvement and innovation of Big Data Analytics and Data science
- Provide individual and team leadership to data scientists to ensure they are growing their capabilities and achieving their career goals
- Master’s or PhD in quantitative field such as statistics, applied mathematics, computer science, or any other discipline with a high applied mathematical / statistical component HIGHLY preferred
- Proven thought leadership on challenging problems with examples of implementing innovative analytic solutions and driving outstanding results
- Preferred experience in ‘digital native’ company applying real-time advanced machine learning analytics throughout operational workflows with clear vision for applying previous experience in healthcare
- Solid understanding of BI and data solutions, including Power-pivots, cubes, data warehouse, and datamarts
- Proven track record of building, developing and leading a data science team focused on advanced analytics and application of machine learning and big data analytics
- Hands on experience with operationalization of advanced machine learning analytics with track record for success and proven outcomes
- Combination of mathematical ability with algorithms, machine learning and coding
- Expert in querying and analyzing data using SAS, Python, R, Java, Spark, Hive, SQL, NoSQL, Oracle, MapReduce, and/or C#
- Algorithm skill such as natural language processing, machine learning, computer vision, signal processing, raw unstructured data analysis, mathematical modelling
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Senior Data Science Manager Resume Examples & Samples
- Identify technical and strategic direction for capability to grow business and optimise risk
- Deploy machine learning to uncover patterns in large scale data sets to identify opportunities and convert into large scale growth opportunities
- Build and maintain strong relationships with the business and IT to develop an understanding of business strategy and objectives, identifying the implications to define the data modelling goals for designated project areas
- Bachelor’s Degree in a quantitative field (Mathematics, Statistics, Machine Learning, Computer Science, Engineering) or equivalent. Post grad preferable
- 3-4 years technical experience within a commercial environment, with a focus on driving growth or managing risk
- Proven competency in managing and developing teams
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Data Science Manager Resume Examples & Samples
- Function as technical lead, in collaboration with other business partners serving the analytic client, to develop deliverables requirements
- Intermediate to advanced proficiency with SQL, SAS, R, STATA or other high level data programming language
- Basic proficiency with Python, PHP, Perl, VB, JavaScript, C++ or other programming language
- Formal training or extensive applied experience with advanced statistical methods such as regression-type modeling, data-mining methods (e.g. classification trees)
- Proficiency with data visualization
- 2+ years developing data that merges relational tables, either within a relational database or related “big data” environments (e.g. SQL Server, Hadoop)
- 2+ years of data and statistical analysis
- 1-2 years project management experience, including demonstrated success with cross-functional collaboration
- 1-2 years implementing novel analytics with minimal supervision
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Data Science Manager Resume Examples & Samples
- Hands-on experience with end-end solution delivery of Data & Analytics applications involving structured and un-structured data on the Hadoop platform or similar (Ingestion, Transformation & Analysis/Visualization) is essential
- Expert level knowledge of data analysis programming languages like R, Python, SAS, etc. is required
- Expert level knowledge of machine learning and statistical methodologies like text mining, NLP, clustering, and classification modeling is required
- Working knowledge of Big Data tools like Sqoop, Pig, Hive, Impala, HBase, Spark, Cloudera Navigator, etc is required
- Working knowledge of best practices in using data discovery tool(s) like Tableau, Qlik, Spotfire, etc. on Cloudera Hadoop is required
- Experience designing, building, and extracting large and complex data sets while thinking strategically about uses of data and how it drives behaviors in users is preferred
- Experience moving advanced analytics applications from a proof of concept to large scale deployment is required
- Experience documenting best practices and enforcing strong governance in a team is required
- Experience mentoring and managing resources through the application development lifecycle
- Excellent verbal and written communications
- Proven ability to work with project managers and stakeholders to help refine and capture software requirements in an iterative fashion. Accurately forecast engineering effort
- Ability to work seamlessly as part of a multi-site, multicultural development team
- Desire to work in a fast paced, growing, deadline driven, startup-up environment
- Experience with Scrum and an Agile Development environment
- Experience with tools like Jira, git, Confluence, etc is preferred
- Self-motivated, driven to achieve committed milestones
- Extreme attention to detail and commitment to quality
- Strong collaboration skills, ability to mentor and be mentored
- MS or Ph.D. degree in Computer science, Mathematics, Statistics, or equivalent
- 5+ years professional analytics or software development experience
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Data Science Manager Resume Examples & Samples
- Drive innovation in data science products through hands on delivery
- Apply machine learning techniques and algorithms to create new solutions
- Work in a virtual start-up environment with rapid product development and iteration
- Inspire and develop more junior members of dunnhumby, both inside and outside the team
- Delivered value through modern machine learning and full stack programming languages, e.g. Python (Pandas, scikit-learn), C/C++, Java, Scala, Go, HTML / CSS / Javascript
- Experience with handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL / Python
- Knowledge and experience with open source technologies
- Hands on delivery of machine learning based techniques, e.g. logistic regression with L1 regularisation, random forests, gradient boosted machines, deep learning, natural language processing, image processing algorithms, recommender systems
- Degree (ideally Masters or PhD) in Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, Physics, Engineering or related field. Candidates with relevant experience are also encouraged to apply
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Data Science Manager Resume Examples & Samples
- Excellent educational background in statistics, applied math, computer science, operations research, economics, or a related field. Masters or PhD degree preferred
- At least 5 years industry experience in time series modeling or machine learning, with significant personal experience as a technical contributor. Experience working with large data sets; experience with spatial data a plus
- At least 3 years experience as a frontline manager, leading teams of 5 or more. As manager, you will manage several direct reports initially and will have the opportunity to create, scale and nourish a team of experienced professionals
- Entrepreneurial. Everywhere you go, you can't help but mobilize people, create things, resolve problems, roll up your sleeves, collaborate, go above and beyond. You are an insatiable doer and motivator of others
- Excellent execution and organization. This team will be working with engineers and product leads at the forefront of the development cycle. To excel in this role, you should be comfortable executing with little oversight and be able to adapt to problems quickly
- Strategic mindset - you're comfortable thinking a few steps ahead of where the team is now and foreseeing new opportunities and challenges before others see them
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Data Science Manager Resume Examples & Samples
- 10+ years of hands-on experience in an analytics role
- Bachelor’s/Master's degree in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related discipline with excellent academic record; advanced degree is a strong plus
- Banking experience is required, interest /willingness to spend 80-100% of time working with banking clients is required
- Strong academic qualifications, including advanced understanding/coursework in Math, Statistics, Machine Learning, Computer Science and Data Management
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Data Science Manager Resume Examples & Samples
- Demonstrated experience formulating, approaching, and solving problems in massive, complex datasets
- Demonstrated management or leadership experience
- 4+ years of hands-on technical or research experience in consulting or similar role
- Prior experience applying AI methods/technologies to InsureTech/FinTech problems such as Fraud modeling, IoT/Telematics, etc., a plus
53
Data Science Manager Resume Examples & Samples
- Lead data scientists, working to provide the algorithmic and data analysis expertise necessary to scale our products
- Act as player-coach and champion data analysis best practices
- Develop and mentor data science talent
- Contribute to strategic and tactical product planning
- Generate ideas for analyses to shape future projects, contributing to a pipeline of opportunities that will help Flatiron achieve its ambitious growth goals
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Senior Data Science Manager Resume Examples & Samples
- Algorithm Development: Develop a deep understanding of all the data relevant to the problem to be addressed. Establish deterministic and probabilistic linkages between data sources and develop ways to extract and summarize the sought information in the data using a wide variety of statistical, data mining and machine learning techniques
- At least five years of experience working on data-intensive analytics solutions - at least 10+ years overall experience
- Solid understanding of fundamental data mining and statistics concepts and familiarity with real-world applications of these techniques
- Solid knowledge of SQL in its various forms for traditional databases and distributed computing environments
- Experience working on large distributed datasets using HiveSQL, Spark, Python
- Experience working on individual customer records, preferable in the field of identity management
- Strong inter-personal collaboration skills. Being able to both work in groups or as an individual contributor
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Data Science Manager, Booking Resume Examples & Samples
- 4+ years professional experience, with proven achievements; 1+ years in management with great track record
- Expertise and hands on experience with experiment design, statistical inference, statistical modeling
- PhD/ MS in quantitative field preferred
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Data Science Manager, Pricing Resume Examples & Samples
- Domain expertise in pricing, marketplace optimization/ design
- Strong foundation in machine learning, product analytics, and statistics
- Keen eye for detail and thoughtful investigation of data before relying upon it
- 4+ years in industry with proven business impact; 2+ years in management
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Data Science Manager, Search Resume Examples & Samples
- Domain expertise in search or discovery products
- Strong foundation in product analytics, statistics and machine learning
- Ability to think and execute at multiple altitudes: from strategy and vision to execution
- 5+ years in industry with proven business impact; 2+ years in management, including managing managers
- Passion for growing a team and talent
- Experience with languages used for querying (e.g. Hive/Pig/SQL), preprocessing (e.g. unix/python), and statistical analysis (e.g. R/Matlab/Stata)
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Data Science Manager Resume Examples & Samples
- Oversees the execution of business analytics to identify competitive analysis, industry benchmarks, and drive business planning
- Collaborates with cross-functional leaders to stimulate “best in class” analyses and models
- Oversees the analysis and interpretation of data/reports of activities to assist with the consultation of market-specific opportunities, analytics and trends, and investment of dollars
- Accountable for the compilation, preparation, and translation of complicated data into simple, high level information for leadership
- Manage a team of coworkers including performance management, coaching and development
- Prioritize, assign and manage department activities and projects in accordance with departmental goals and objectives. Adjust hours of work, priorities and staff assignments to ensure efficient operation, based on workload
- 5 years of increasing experience in a combination of data science, analytics, statistics, computer science, software development, operations research, engineering, computational finance
- Demonstrated development of customer data marts to support business decisions
- History of successfully working with or managing a technical team
- Excellent written and verbal communication skills with the ability to effectively interact with and present to all stakeholders, including senior leadership
- Demonstrated ability to build and maintain relationships cross-functionally and with external stakeholders
- Proficient in Microsoft Office applications
- MS in Computer Science, Engineering, Analytics, Mathematics, Physics, Economics, Computational Finance, Statistics, Operations Research
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Data Science Manager Resume Examples & Samples
- Lead the creation of vision, strategy, and execution plan on Predictive Modeling associated with our health products for customers
- Lead the creation, vision, strategy and execution plan on Customer Identification and Stratification Algorithm development associated with our health products for customers
- Own two or more Predictive Modeling products and be responsible for their roadmap development, implementation and collaboration on evaluation, which involves leadership in workgroups, in addition to the single predictive models in existence today or those to be developed
- Set the analytic path toward Customer Identification and Algorithm development
- Deep collaboration with the IM, IT and other members of the analytical community to drive unique Predictive Modeling and Customer Algorithm analytics
- Keep in tune with industry trends, techniques, tools and use cases to steer the internal improvement and innovation within both Predictive Modeling and Customer Identification and Stratification Algorithm development
- Master’s or PhD in quantitative field such as statistics, applied mathematics, computer science, or any other discipline with a high applied mathematical / statistical component highly preferred
- A minimum of 5 years industry experience solving business problems through application of quantitative analytic approaches
- Proven track record of building, developing and leading a data science team focused on advanced analytics (previous direct report management experien
- Hands on experience predictive modeling analytics with track record for success and proven outcomes
- Hands on experience with development customer identification and stratification algorithm development
- Combination of mathematical ability with algorithms and coding
- Expert in querying and analyzing data using any of the following: SAS, Python, R, Java, Spark, Hive, SQL, NoSQL, MySQL, Oracle
- Experience in presentation tools like Tableau and Looker
- Expert in Predictive Modeling testing, including meeting industry statistical standards as set out by such bodies as the American Society of Actuaries
- Algorithm development including how to test algorithms statistically for reliability and validity
- Experience in accessing, manipulating and making sense of large amounts of structured and unstructured data, including Hadoop and Teradata
- Preferred experience in ‘digital native’ company applying Predictive Modeling analytics and Customer Algorithms throughout operational workflows with clear vision for applying previous experience in healthcare
- B2C customer analytics focus, including satisfaction, next best opportunity, customer journey, etc. to drive individualized customer engagement and outstanding outcomes
