Manager, Data Science Job Description
Manager, data science
provides hands on data science applications experience such as association analysis, graph/network analytics, clustering, text analytics, classification and regression (multivariate and logistic).
Manager, Data Science Duties & Responsibilities
To write an effective manager, data science job description, begin by listing detailed duties, responsibilities and expectations. We have included manager, data science job description templates that you can modify and use.
Sample responsibilities for this position include:
Design and develop data products that address internal and external business needs using analytic tools/languages such as R, python, and SAS, BI tools such as Tableau
Master’s degree in Statistics/Computer Science/Software Engineering
Gathering, cleaning, structuring and fusing existing data
Serve as a liaison between the League and teams, ensuring uniformity in data format and collection the continued operation of two-way data feeds
Lead development and implementation of scalable algorithms for a range of areas such as buyer activation, predicting next purchase, product recommendations, similar listings, inferring search query and user churn
Engage with executive team to understand the business priorities
Lead small to large projects that informs both day-to-day tactical decisions and long-term strategic vision
Plans, develops, and implements data science, data engineering, or data analytics solutions and technologies, and ensuring that sound methodologies are employed
Own the solution design and lead the technical development of data acquisition and integration projects, both batch and real time
Own the solution design and lead the technical development of data visualization projects
Manager, Data Science Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Manager, Data Science
List any licenses or certifications required by the position: PMP, PMI, FPX, AWS, II, PRINCE, ACP, TDWI, CSPO, CSM
Education for Manager, Data Science
Typically a job would require a certain level of education.
Employers hiring for the manager, data science job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Computer Science, Mathematics, Engineering, Economics, Science, Physics, Math, Graduate, Machine Learning
Skills for Manager, Data Science
Desired skills for manager, data science include:
AWS services
Python
R
SQL
Clustering
Machine learning
Experience working with database systems
Logistic regression
Statistics
XGBoost
Desired experience for manager, data science includes:
Minimum of 5+ years of experience performing analytics within media, marketing or digital analytics
Working knowledge of Web Analytics tools like Adobe Omniture a plus
Mentoring and motivating a team of high performing engineers
Helping create a productive and innovative work place
Working with the project management team to continually improve our agile management practices
Translating business requirements for the business team to the engineering team
Manager, Data Science Examples
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Manager, Data Science Job Description
Job Description Example
Our company is looking to fill the role of manager, data science. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for manager, data science
- Perform complex data manipulation and analytics and leverage data to solve strategic, tactical, structured, and unstructured business problems
- Lead a team of data scientists in solving complex analytical problems
- Build a robust sales, redemption, and AUM forecasting process using statistical forecasting models
- Manage, grow and nurture the Data Scientist Advocate program
- Organize product briefing and roundtable for community advocates and influencers
- Liaise with the User Groups, provide content and event kits to them and help organize and run user groups events
- Organize specialty events like Hackathons, Camps and Meetups
- Monitor and report on feedback about our product and processes
- Leading team, leading cross-functional initiatives for Marketing and the analytic community as a whole [e.g
- Engages various customers to understand their requirements, translate them into initial analytics projects, scope them out and work with the off-shore team to get them build and executed as per the customer requirements
Qualifications for manager, data science
- Experience of Big data technologies (Hadoop, HIVE, PIG, Spark ) and unstructured data
- Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
- Develop and manage analytics, modeling and reporting capabilities and measure the effectiveness in predicting and preventing financial crimes
- Expertise in developing, executing and implementing various classification and regression models, clustering, time-series models and attribution models
- Expertise in web scraping
- Expertise in parsing existing code and developing ways to increase its efficiency
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Manager, Data Science Job Description
Job Description Example
Our company is growing rapidly and is hiring for a manager, data science. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for manager, data science
- Lead a team of talented data scientists and engineers working on a variety of problems at scale
- Mentor and guide the professional and technical development of the team
- Provide continuous feedback, recognize individual strengths, and address issues as needed for your team members
- Promote continuous improvement of the team's code, architecture, and processes
- Build cross-functional relationships with product managers, application engineers, and others to understand and support data requirements
- Work closely with the recruiting team to hire high potential candidates from diverse backgrounds
- Partner with internal customers to develop analyses that lead to actionable insights that improve business decision making, performance, and customer experience
- Define and work with stakeholders to improve data integrity and usefulness throughout the company, including identification of opportunities to improve operations and processes that impact data
- Evaluate, develop and deploy data visualization toolsets
- Foster cross functional/regional sharing of analytical frameworks, approaches, and insights
Qualifications for manager, data science
- Graduate degree in a quantitative field such as Mathematics, Operations Research, Statistics, Economics, Computer Science or Engineering
- 5+ years’ experience in an analytical environment with advanced analytic rigor including modeling, performing business analyses, generating data-driven insights, and presenting them to stakeholders
- Expertise in Big data processing and manipulation in at least one of the following
- Proven knowledge in using visualization data in tools such as PowerPoint, Tableau
- Knowledge of multiple varied machine learning techniques and empirical modeling using parametric and non-parametric modeling
- Expertise in Big data processing and manipulation in several of the following
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Manager, Data Science Job Description
Job Description Example
Our growing company is looking to fill the role of manager, data science. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for manager, data science
- Become the natural leader and reference of the team
- Propose and implement scalable value-adding analytical insights in order to match customer ROI & volume expectations and help the commercial team to roll-out new features and products
- Identify opportunities in our processes, data tools and build POCs to extend our solution beyond our standard offer
- Run real world tests on new developments
- Mentor and develop each individual in the team, ensuring they focus on the right priorities and get support when needed
- Promote the adoption of new data science techniques and nurture innovation in the team
- Manage the team’s workflow, prioritise and allocate tasks and projects between the team members when necessary
- Promote client facing AX operations and participate in strategic client and partner meetings as required
- Communicate effectively and clearly to highly senior stakeholders, and some of our most important UK and International clients, while defining and managing deadlines commitments
- Interact with key data analytics team and executives across the globe to leverage best practices and drive global results
Qualifications for manager, data science
- 7-10 years of intense SQL development experience, including management of technical teams
- Experience with version control systems (Github, Subversion) and deployment tools
- Familiarity with Scrum/agile project management methodologies and SDLC stages required
- You can show off your Github or Stack Overflow contributions
- Have earned a Ph.D or M.S
- Needs experience actually building and deploying predictive models
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Manager, Data Science Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of manager, data science. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for manager, data science
- Identifying and delivering opportunities through advanced analytics including machine learning and statistical models
- Drive business value through successful delivery of analytics products and analysis associated with strategic business value initiatives
- Mentor and develop an elite analytics team
- Develop and implement a formal data scientist competency model
- Drive organizational change to transform the business in to a more data driven approach
- Participate in an enterprise community of practice for analytics to foster cross sector collaboration
- Assist/Perform advanced analytics such as demand analysis, program risk, and customer behavior
- Through the insights and visualization of complex data sets , the individual will contribute significantly to the strategy across various aspects of audience planning, set-up, optimization and insights
- This person will drive innovation by exploring new experimentation methods/statistical techniques that help drive insights and build data products
- This person will develop a deep understanding of the analytical need and leverage knowledge of Sony data assets, big data technologies to develop and deploy testing hypotheses, use cases, and analyze test results
Qualifications for manager, data science
- Knowledge of data integration processes with Hadoop hive, Azure Blob stoer and Azure ML
- Some experience performing data mining or statistical analysis in CPG is highly preferred
- 5+ years Project management and project development
- Minimum of 4 years of experience working on advance analytics projects involving statistical models like logistic regression, Cox proportional hazard model
- Strong Network foundation in OSI Layer 1 – 7
- Strong understanding of network devices like Routers, OLT, ONT, LCR and related Key performance Indicators like Packet Loss, Jitter, Network Latency, Errors In/Out 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
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Manager, Data Science Job Description
Job Description Example
Our company is searching for experienced candidates for the position of manager, data science. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for manager, data science
- Lead a strong team of data scientists working on vital problems
- Have opportunity for major impact on a thriving business
- Defines the data science program management structure and supporting processes
- Plans data science plays which transform the way divisions and regions engage with customers, drive demand and generate revenue and ROI
- Engage with divisions and regions to provide hands-on guidance to optimize data science results with a focus on funnel performance, demand generation and margin improvement
- Identifies program and project expansion opportunities to include new data sources, channels and customer experiences
- Defines the program governance (controls), managing risks and issues and taking corrective actions
- Coordinating the projects and their interdependencies, management and utilization of resources across projects
- Manages stakeholders’ communication
- Develops evaluation methods to assess program strengths and identify areas for improvement
Qualifications for manager, data science
- Proven thought leadership ability with strong track record of conceptualizing and executing innovative solutions to unstructured problems in a dynamic environment
- Knowledge of advanced cognitive or behavioral methodologies
- At least 1 year experience managing people
- Preferred experience with NLP, Graph Theory, Neural Networks (RNNs/CNNs), sentiment analysis, and Azure ML
- Preferred experience with web-scrapping
- Degree in quantitative field of study (statistics, operations research ) from an accredited institution