Manager, Data Science Job Description
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:
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:
Desired experience for manager, data science includes:
Manager, Data Science Examples
Manager, Data Science Job Description
- 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
- 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
Manager, Data Science Job Description
- 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
- 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
Manager, Data Science Job Description
- 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
- 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
Manager, Data Science Job Description
- 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
- 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
Manager, Data Science Job Description
- 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
- 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