Scientist, / Manager Resume Samples

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D Jones

Dawson

Jones

19477 Sipes Parks

New York

+1 (555) 699 9721

19477 Sipes Parks

New York

Phone

p +1 (555) 699 9721

Experience Experience

San Francisco, CA

Data Scientist Manager

San Francisco, CA

Nienow-Schimmel

San Francisco, CA

Data Scientist Manager

Supervise a team of specialists in own area, allocating work, contributing to employee selection and providing coaching and guidance as necessary
Manage and/or provide guidance to junior members of the team
Work with Avanade's Managed Services team, to develop 'analytics as a service' propositions
In conjunction with data owners and department managers, contribute to the development of data models for analytics
Identify, Diagnose and Resolve predictive / analytical model performance issues. Monitor predictive / analytical system performance and implement efficiency improvements
Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems
Contribute to recommendations on predictive / analytical modeling products, services, protocols, and standards in support of procurement and development efforts

New York, NY

Senior Data Scientist Manager

New York, NY

Hane, Treutel and Bergstrom

New York, NY

Senior Data Scientist Manager

Deliver a broad scope of analyses including predictive modeling, customer segmentation, lifetime value analysis, cross channel analysis, test design and analysis, and more. Create measurement strategies and test and learn agendas for the brand marketing teams
Support Marketing teams in the optimization of campaigns, through measurement and analysis of consumer response and engagement. Identify opportunities for more efficient acquisition, development and retention
Craft innovative data and analytics representations that allow insights to be easily understood and extracted from large amounts of data and analytical output
Support the development of CRM programs and brand strategies, marrying data and insights with our brand goals and objectives
Collaborate with business teams to maximize efficiency and effectiveness of our existing $250MM+ global marketing budget across owned and licensed brands by working across our matrixed P&Ls
Manage and mentor junior Data Scientists on the team
Expert proficiency in SQL

present

Philadelphia, PA

Senior Data Scientist, Manager

Philadelphia, PA

Kuphal and Sons

present

Philadelphia, PA

Senior Data Scientist, Manager

present

Detailed knowledge of how data and analytics solutions are implemented in existing programming languages and design patterns
PhD in Operations Research, Industrial Engineering, Computer Science, or related discipline
Mentor junior data scientists and advise client-facing analytic professionals engaged in pursuits and delivery
Effectively communicate solution design elements to developers, supervise and QA their work
Represent EY’s Data Sciences competency to various internal and external audiences
Build awareness of the Data Sciences competency, and personal relationships, with account teams and Sector/Service Line leadership to facilitate effective participation in key pursuits
Facility in the management and manipulation of large datasets, both structured and unstructured

Education Education

Bachelor’s Degree in Statistics

Rowan University

Bachelor’s Degree in Statistics

Skills Skills

Approaching clients and team members in an organized and knowledgeable manner and to deliver clear requests for information; and,
Approaching clients and team members in an organized and knowledgeable manner and to deliver clear requests for information
Leveraging project management skills in relation to data management projects, including developing project plans, budgets, and deliverables schedules
Excellent communication, influencing and negotiation skills
Position may be suitable for senior analyst with ambition to become people manager
In a professional business environment
Interpret problems, synthesize analysis, and present information in a way that is understandable to a non-technical person
5) Participate in and lead P&G analytic capability building program
Compile and present complex information using data visualization tools
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

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15 Scientist, / Manager resume templates

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Senior Data Scientist Manager Resume Examples & Samples

Deliver a broad scope of analyses including predictive modeling, customer segmentation, lifetime value analysis, cross channel analysis, test design and analysis, and more. Create measurement strategies and test and learn agendas for the brand marketing teams
This is a hands-on role that requires the ability to build statistical models, manipulate data, apply statistical techniques and create reports
Support Marketing teams in the optimization of campaigns, through measurement and analysis of consumer response and engagement. Identify opportunities for more efficient acquisition, development and retention
Craft innovative data and analytics representations that allow insights to be easily understood and extracted from large amounts of data and analytical output
Support the development of CRM programs and brand strategies, marrying data and insights with our brand goals and objectives
Collaborate with business teams to maximize efficiency and effectiveness of our existing $250MM+ global marketing budget across owned and licensed brands by working across our matrixed P&Ls
Manage and mentor junior Data Scientists on the team
5 years of hands-on statistical modeling experience
Minimum of a Bachelor’s degree in Statistics, Finance, Marketing, Business Administration, or related. Master’s degree in Statistics, Applied Mathematics or related or MBA preferred. The equivalent combination of education, training and work experience may be suitable
Expert at a variety of analytical techniques that must include some of the following: multivariate regression models, cluster analysis, predictive modeling, other advanced methods
Experience in direct marketing analytics preferred
Expert proficiency in SQL
Experience with an analytics tool a must (SAS, SPSS, R etc.) SAS preferred
Comprehensive understanding of marketing metrics, including digital and emerging media
Experience working with large data sets including multi-channel, multi-brand, multi-product environments. Retail and ecommerce experience preferred
Track record of success in providing analysis, strategic direction, and specific business recommendations to senior management on critical decisions
Strong analytical, project management, and communications skills Critical Competencies for Success
Consultative Influence Style – This position and this person will only be successful if they can build relationships by serving stakeholder needs. A service mentality and orientation is essential
Entrepreneurial – Ability to identify strategic needs, with little or no direction, find resources and data, and lead management based on findings
Problem solving – Strong conceptual problem solving skills and business judgment. Ability to simplify the complex, and drive teams to action
Strategic– Ability to connect the dots, where others cannot, and create sustainable and impactful insights and opportunities. Ability to solve old and new problems in new ways and gain internal alignment from the top down
Communication – Clear, concise, compelling, honest, and two-way; able to strongly influence decision-makers. Excellent interpersonal skills with strong teamwork orientation and proficiency and relationship-building with senior executives is required. Execution Excellence – Proven history of translating insights into action. An ability to manage multiple projects /responsibilities is required

Senior Scientist / Manager Resume Examples & Samples

Conduct independent laboratory research targeting neurodegenerative and psychiatric disorders and pain, using in vivo approaches. Responsible for all aspects of initiating and executing in vivo assays, including: identification of appropriate assays, experimental design, assay development and validation, ex vivo endpoints, statistical analyses, and reports
Lead other in vivo team members to facilitate timely execution of high quality studies. Supervise at least one individual
Interact with program teams to identify, plan, and carry out program goals. Report experimental results to supervisor and other key stakeholders
Manage interactions with external partners and contract research organizations
Ph.D. with at least 4 years of relevant pharmaceutical industry experience
> 6 year record of in vivo laboratory expertise using rat and/or mouse models of neurodegeneration and/or other neurological deficits, including rodent behavior, surgical approaches, and genetic and/or viral vector modeling approaches
Record of accomplishment supporting small molecule development programs in a pharmaceutical or biotechnology company environment is preferred
Ability to source and implement novel and innovative approaches for CNS targets
Record of publications and of presentations at national and international meetings

Ccb-risk-fraud Modeling Data Scientist Manager Resume Examples & Samples

Lead a team of decision science professionals to develop best-in-class core risk and profitability models and decision support tools for all aspects of credit risk decision points across life-cycle of credit card customers. Chase Card Services is undertaking a break through platform elevation in data and scoring capabilities. Examples of core risk models would include proprietary credit bureau attributing system and scores to support acquisition/underwriting and customer management decisions, and internal behavior based risk assessment models with 360 degree view of Chase customers
Ensure that all risk models are in compliance with regulatory requirements and the Firmwide model risk policy
Provide insights derived from the models and modeling exercise to support business strategies
MS or PhD degree in Statistics, Economics/Econometrics, Applied Economics, Decision Science, Operations Research, Mathematics (or equivalent quantitative field)
A minimum of 10 years of hand-on modeling experience. Experience in credit modeling across various consumer products as well as risk management and Business Insights in banking is strongly preferred
Strong analytical, interpretive and problem solving skills, which will require the ability to synthesize / analyze diverse information and develop strategy recommendations from observed outcomes
At least 3-year experience to lead the efforts in supporting regulatory examinations and internal audits
Experience in advanced analytic techniques applied to customer and risk valuation, marketing ROI, design of experiment, and segmentation
At least 3-year experience managing high-performing teams or industry leading modeling SME
Outstanding written and oral communication skills to clearly present analytical findings and influence across all levels of the organization
Proficient in the following applications: Microsoft Word, Excel, and PowerPoint, SAS and SQL with experience in UNIX and relational database knowledge

HR Data Scientist Manager, People Analytics Resume Examples & Samples

Develop with IT and HRIS, an HR business intelligence capability
Partner with the HRIS, and HR Business Partners (Recruiting, HR Communications, Total Rewards, Learning & Development, etc.) and other functions to understand and deliver on their data needs: from standard reporting, workforce planning support, to executive level analysis and recommendations
Provide coaching and training on use and interpretation of metrics
Manage team of data analysts
Utilize technology and analytical tools to develop, analyze and interpret HR workforce data
Collaborate with key stakeholders and departments
Deliver effective presentations of findings and recommendations to multiple levels of stakeholders
Contribute to development of workforce analytics to provide management insight through metrics, dashboards, full-spectrum analysis and predictive modeling
Create, maintain, and ensure quality assurance of human resources data sets, reports, and metrics
Ensure timely completion of key deliverables and other project management
BA/BS Bachelor’s Degree
A minimum of three (3) years of experience in an analytical role within Consulting and/or Human Resources
A minimum of five (5) years of professional experience
A minimum of two (2) years of Managerial experience including project/program management; organization, prioritizing and managing resources effectively
Microsoft Office Suite; advanced Excel skills and experience with VBA
Experience with statistical analysis software (e.g., R, SAS, SPSS)
Experience with data visualization (e.g., Tableau, Microstrategy)
Excellent organizational skills and ability to manage and execute multiple work streams at once
Client facing experience
Strong understanding of data modeling
Bachelor Degree in business-related field with emphasis in Statistics, Mathematics, Engineering, Technology, Data management, Finance or other Analytical field
A minimum of five (5) years of experience in an analytical role within Consulting and/or Human Resources
A minimum of seven (7) years of professional experience
A minimum of four (4) years of Managerial experience including project management and program management; organization, prioritizing and managing resources effectively
Experience working with an Oracle database product
Expert knowledge of quasi-experimental and applied research design, including multivariate statistical analysis

Data Scientist Manager Resume Examples & Samples

Supervise a team of specialists in own area, allocating work, contributing to employee selection and providing coaching and guidance as necessary
Develop & implement risk selection and pricing for product or product segments; develop other risk selection models for the enterprise (e.g. Underwriting, Marketing)
Support preparation of internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models
Communicate models to audiences outside of analytical department; coordinate with business leads to develop understanding, engagement, and branding
Continuously deepen knowledge of insurance industry practices across multiple disciplines
Occasional Business Travel
May require flexibility to accomodate working hours of the Us stakeholders
Generate data driven insights and outline deployment path for appropriate impact
Lead analyses while leveraging business insights to provide Zurich with a competitive advantage
Drive the research and recommended solutions to complex business issues and make recommendations on model inputs
Establish and maintain strong, collaborative relationships throughout the organization
Formulate model data requirements and specifications to ensure business initiatives are based on sound analysis of potential benefits and risks
Serve as a subject matter expert on predictive models within own group and with business users; consult with the business, as appropriate, on predictive modeling solutions to ensure that the solution is appropriate to the needs of the business
May identify and structure complex business challenges/opportunities for model development, data sourcing, hypothesis generation and testing to support the analytical capabilities of the function
Help to drive the model development process and strategy
University education (Master's degree) in Financial mathematics, Actuarial science, Statistics, Quantitative methods, Computer Science or similar
English language – Expert (C1 or better), spoken and written
Technical experience in analytics, data management or similar. Experience in Insurance industry is an advantage
Position may be suitable for senior analyst with ambition to become people manager
Excellent communication, influencing and negotiation skills
High level relationship building skills
Problem-solving, decision-making and judgment skills
Willingness to embrace actuarial career

Senior Data Scientist Manager Resume Examples & Samples

7 – 1-0 years related experience with healthcare data analytics, statistical analysis, predictive modeling, machine learning techniques, and visualization tools
Experience in healthcare analysis, preferably in provider analytics
Experience with big data technologies such as Python, R, Hadoop, Hive, and Tableau
Demonstrated ability to communicate technical ideas and results to non-technical clients in written and verbal form

Research Scientist Manager Resume Examples & Samples

PhD. in Electrical Engineering, Computer Science, Applied Physics, or a related field
3 or more years’ experience as a research manager in consumer electronics or medical devices with expertise in one or more of the following
Signal processing and machine learning
Analysis of physiological signals like ECG, PPG, etc
Hardware and sensor design
Mastery of programming and scientific computation (Matlab, Python and C/C++)
Embedded programming in computation-constrained and power-constrained mobile platform (e.g., ARM)
Numerical programming a plus
History of strong technical mentorship, management, and leadership experience
Adept at prototyping devices, algorithms, and validation through experiments involving humans

Data Scientist Manager Resume Examples & Samples

Work with large volumes of data; extract and manipulate large datasets using standard tools such as Hadoop Ecosystem, Apache Spark, SAS, through scripting in Python, SQL, Java etc
Hands-on skills in cleaning, manipulating, analyzing, visualizing and modeling large data sets
Data Cleaning/Transformation – This involve parsing and aggregating messy, incomplete, and unstructured data sources to produce data sets that can be used in analytics/predictive modeling
Enhance and optimize codes that scale critical business processes
Develop and validate advance data mining tools, algorithms, and other capabilities to solve business problem
Transform data/ analysis to a business language
Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa
MS in engineering, computer science, statistics, or other related fields with 3+ years of experience required
3+ years' experience with the ability to come up with practical algorithms and write high quality code quickly for analyzing gigabyte to terabyte-scale data
Understanding of algorithms and ability to optimize various program complexities using suitable data structures
Working knowledge in at least one compiled language (e.g., Java, C++) and expertise in one dynamic scripting language (Python preferably). Comfortable with shell scripting in Linux/ Unix environment
Familiarity with REST APIs, query endpoints, and web crawling techniques etc. is a plus
Experience Data Mining or Statistics (SAS, SAS E. Miner, SAS E. Guide)
Experience with using distributed computing technologies, including Hadoop (MapReduce, PIG, Hive) and Spark to write data analytic processing jobs both in batch and streaming against structured and unstructured data
Ability to manage multiple projects efficiently and able to meet deadlines
Experience designing and building new tools. Ability to re-use existing experience to develop new production-ready solutions
Quick-thinker, fast learner, wide general knowledge, problem solver
Excellent spoken and written English. Spanish is a plus

Senior Data Scientist, Manager Resume Examples & Samples

Attract, develop and retain a high-performance Data Sciences team which meets Microsoft’s corporate goals of diversity and inclusiveness
Effective communicate and translate Bing Ads business strategy and goals into discrete, manageable problems with well-defined measurable objectives and outcomes on which the Advertiser Sciences team can execute
Transform formulated problems into implementations plans for experiments by developing data sources, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results
Foster an environment of scientific inquiry which sets team standards for analytic rigor that is consistent with the broader Microsoft data sciences community and strives to apply the simplest viable approach for experiments and analysis
Masters degree or equivalent experience in Data Science, Computer Science, Electrical Engineering, Machine Learning/AI or related fields
Experience with online data; experience with online-advertising data strongly preferred
Knowledge and experience in at least three of the following areas: machine learning, data mining, user modeling, information retrieval (interrogation of log files and very large databases), economic modeling, econometrics, game theory, statistics, data analysis, e-metrics/measurement. 2+ years practical experience, 4+ years are preferred
Strong ability to apply your expertise in solving real-world problems
Experience with data analysis and statistical tools (e.g. R, SAS, Matlab or SPSS)
Solid communications skills, both verbal and written
Hands-on approach to data analysis and a strong focus on quality

Data Scientist Manager Resume Examples & Samples

Lead and grow this part of the business in EALA, including the development of new and existing 'go to market' analytics propositions
Work with Avanade's Managed Services team, to develop 'analytics as a service' propositions
Work with Avanade's Digital agenda, helping to embed analytics in to current propositions including Digital Customer, Digital Marketing and Digital Workplace
Build an advanced analytics team, through both recruitment and training of existing Data & Analytics team members, based on Microsoft's growing analytical capability in Hadoop and R; and
Advocate and educate - internally and externally - the use of Microsoft analytical technologies
Proficiency in solving analytical problems using quantitative approaches, the use of predictive modelling, forecasting and sophisticated statistical analysis
Familiarity with relational databases, including Microsoft SQL
Minimum 10 years' experience
Of analysis tools such as SAS and R
In a consulting / client facing roles
Of building and selling analytics propositions
Experience in develop 'analytics as a service' propositions; and
Experience in building advanced analytics teams

LED Research Scientist Manager Resume Examples & Samples

Managing the human research and development resources to ensure all research programs run smoothly and efficiently
Encouraging, supporting and mentoring the R & D teams
Engaging and supporting all the company’s people support/HR systems. Manage staff welfare by providing for all their needs
Oversight for the technology vision and strategy for the R & D team to ensure effective prioritization and allocation of resources
Identifies areas for team development and establishes goals (individual and team)
Communicate R & D status to stakeholders and various key teams around the organization
5+ years of tech industry experience
5+ years of program management experience
Extremely strong communication skills and experience working with highly technical teams
Strong organizational and coordination skills along with multi-tasking capabilities to get things done in a fast paced environment
Problem solver to remove any impediments facing researchers and their ability to overcome complex problems
Capable of dealing with ambiguity and changing research paths

Data Scientist 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, P&G business model, optimization, etc
Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hive
Business Intelligence tools: such as KNIME, Tableau, Spotfire

Senior Scientist / Manager, PK Sciences Resume Examples & Samples

Represent PK Sciences on local/global project teams: Design and influence clinical pharmacology/DMPK strategy for assigned programs in liaison with appropriate line functions and the Management; coordinate DMPK, PK/PD, biopharmaceutical and M&S activities for preclinical and clinical projects; identify potential project hurdles, suggest solutions, and establish contingency plans
Contribute expert input into key preclinical and clinical, and regulatory documents including clinical study protocols, clinical study reports, modeling reports, investigator brochures, CTA’s/IND’s and NDA's within agreed timelines and meeting all regulatory requirements under frequent guidance from manager
Analyze, interpret and apply DMPK, PK/PD and M&S data to guide clinical devel-opment strategy, study design and responses to health authorities
Present summary information (written and oral) both internally and externally to advisory panels, investigator meetings and health authorities as part of the regula-tory approval process
Ensure constructive collaboration within drug development teams (EPTs, GPTs, etc.) and with other internal partners (e.g. Toxicology, Formulations, Drug Regulatory Affairs, Clinical Development)
Monitor timelines, objectives, and as appropriate, program budgets, assure rapid and effective communication of high-quality data and results to project teams
Follow internal processes, adhere to Novartis and project-specific standards, and adhere to health authority requirements (e/g., SOPs, Master Analysis Plan, GCP, and regulatory guidelines)
Maintain and enhance technical and drug development expertise, may act as tech-nical subject matter expert in key clinical pharmacology/DMPK related area
0-5 years of relevant postdoctoral, industry, or government experience
Proficiency with PK and PK/PD technical tools (e.g., WinNonlin/Pharsight, NONMEM, Monolix, SAS, GastroPlus, SimCyp)
Knowledge of related disciplines (e.g., DMPK, biostatistics, toxicology, regulatory) in the drug development process
Ability to work successfully as part of cross functional teams in a highly dynamic, matrixed, project-team environment
Good organizational and project skills
Critical thinking and problem solving skills, including publications/ presentations

Data Scientist Manager Resume Examples & Samples

Computer programing with any of the following focus: statistical/mathematical languages [e.g., R, SAS, MATLAB], general purpose languages [e.g., Python, Java, Go, Perl], and/or other special purpose languages [e.g., SQL, bash scripting]
Machine learning/predictive modeling, natural language processing, statistical analysis, simulation modeling, and graph analysis
Large scale data processing tools [e.g., Hadoop environment, Apache Spark, elastic cloud compute]
Data analysis workflow using tools [e.g., git, iPython notebook]; and,
Data visualization tools [e.g., D3.JS, Gephi]
Collaborate and contribute as a team member: understand personal and team roles, contribute to a positive working environment by building solid relationships with team members, and proactively seeking guidance, clarification, and feedback
Identify and address client needs, build relationships with clients, develop requests for information, demonstrate flexibility in prioritizing and completing tasks, and communicate potential conflicts to a supervisor
Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize ability in problem-solving, and communicate effectively in written and verbal formats to various audiences
In a professional business environment
Understand how the application of analytical techniques correlated to business value; and,
Select the appropriate analytical techniques for the problem at hand

Data Scientist Manager Resume Examples & Samples

Master’s degree or PHD in Mathematics, Operational Research, Business Administration, Economics from a Premier Institute
In-depth hands-on exposure to data sciences, Machine learning and Big data with experience in developing and deploying solutions in this space
Exposure to the following

Data Scientist Manager Resume Examples & Samples

Understanding of compliance systems and technology such as Actimize, Mantas, Fiserv, Charles River, Norkom, Optuminsight and customer solutions
Evaluating business process, compliance and risk issues
Understanding of database concepts, including building relationships between tables, grouping data, and producing cohesive analyses
Leveraging data manipulation and analysis technologies inclusive of Microsoft SQL Server, SQL, Oracle, or DB2
Leveraging data visualization tools such as Spotfire, Qlickview and Tableau; and,
Operating in a professional services firm or large enterprise as a consultant, auditor or business process specialist
Defining resource requirements, project workflow, budgets, and billing and collection
Identifying and addressing client needs, including developing and sustaining extensive client relationships; and,
Assisting with the Leading of 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
Collaborating seamlessly in a virtual environment to complete projects with team members based in various locations, domestically and globally
Leading teams, which includes creating a positive environment by monitoring workloads of the team and respecting the work-life quality of team members; providing feedback in a timely manner; and keeping leadership informed of progress and issues
Identifying and addressing client needs, including developing and sustaining meaningful client relationships and understand the client's business
Leveraging project management skills in relation to data management projects, including developing project plans, budgets, and deliverables schedules
Leveraging creative thinking, individual initiative, and flexibility in prioritizing and completing tasks
Researching and analyzing pertinent client, industry, and technical matters
Approaching clients and team members in an organized and knowledgeable manner and to deliver clear requests for information
Approaching clients and team members in an organized and knowledgeable manner and to deliver clear requests for information; and,
Utilizing negotiation and persuasion skills used to sell potential opportunities, including a proven track record with identifying and converting potential engagement opportunities and developing market presence

Scientist, / Manager Resume Examples & Samples

BA/BS with a minimum of 10-13 years relevant work experience in conducting immunoassays in an FDA regulated (GLP) bioanalytical lab
MS with a minimum of 8-10 years relevant work experience in conducting immunoassays in an FDA regulated (GLP) bioanalytical lab
PhD with a minimum of 2 years relevant work experience in conducting immunoassays in an FDA regulated (GLP) bioanalytical lab
Education degree in biological sciences or related fields
Ability to work independently and on teams with minimal supervision
Good knowledge and extensive experience in GLP requirements and practices in bioanalytical lab
Prior experience and understanding of regulatory requirement for method development and validation for PK, immunogenicity and PD biomarkers
Strong expertise in immunoassay development and validation
High level of expertise in bioanalytical fields, including methods and technologies
Strong ability to trouble shoot bioanalytical methods
Experience with assay development and validation of immunochemical and bioassays
Familiarity of GLP regulations
Good lab GLP knowledge and experience
Knowledge of drug development
Experience with regulatory interactions
Proficiency with Microsoft office software (word, excel, power point) and graphical computer programs (e.g. SIGMAPLOT, etc.)
Detail oriented, good organizational, documentation and technical writing skills

Data Scientist Manager Resume Examples & Samples

Work with business domain experts to understand the business strategy and process in order to convert a business problem into an analytics solution
Collaborate with business domain experts and application developers to identify data relevant for analysis
Contribute to recommendations on predictive / analytical modeling products, services, protocols, and standards in support of procurement and development efforts
6+ years of intensive, recent, experience with developing predictive / analytical modeling techniques, theories, principles, and practices. Specific experience in more than one of: machine learning, statistical modeling, graph modeling and text mining techniques
Excels with executive communication, and synthesizing large amounts of data into elegant business insights that drive actionable strategies
Experience in implementing scalable algorithms in Hadoop, HBase, or Cassandra. Experience implementing algorithms like Montecarlo simulations running HPC grid like Datasynapse or Platform
Extensive experience with one of more programming language like Java, R or Python
Excellent knowledge of data mining / predictive modeling tools such as SAS, SPSS, R, etc
Oriented to machine learning / graph learning, exposure to developing / implementation of algorithms for data mining
Consumer and/or Commercial Banking experience preferred

Data Scientist Manager Resume Examples & Samples

6+ years experience in Data Scientist role post post-graduation
Database Management and Data Structuring
Analyze, interpret and make sense of complex data on various formats (text, numeric, image, etc.) and provide solutions to data challenges
Incorporate business requirements into data science research design specifications

Senior Data Scientist Manager Resume Examples & Samples

Bachelor’s Degree in Mathematics/Statistics and 8 or more years of experience in the Predictive Analytics area
Advanced analytic problem solving skills, and experience in effectively solving business problems
Knowledge of statistical and predictive modeling techniques, such as machine learning, decision trees, probability networks association rules, clustering, regression, GLMs and neural and their application to business decisions networks
Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining and data reduction
Experience with programming and data tools such as R, Python, SAS, MATLAB, SQL Server, Hadoop, Hive, Pig etc

Research Scientist Manager, Optical Science Resume Examples & Samples

Enable a team to research and develop advanced optical components and systems, including but not limited to: imaging and display systems
Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, computer vision, etc.)
Mentorship experience with the ability to lead an organization at various experience levels ranging from interns to Optics researchers
Technical Optics knowledge across a range of optics including imaging, illumination, radiometry and photometry, physical and geometric optics, statistics, and polarization
Understanding of sources (lasers and LED’s), spatial light modulators, diffractive optics, optical materials, and thin film optics
Experience as lead investigator for which results were achieved or established
Ability to collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, computer vision, etc.)
PhD or M.S. in Optics or related field