Data Science Manager Job Description
Data Science Manager Duties & Responsibilities
To write an effective data science manager job description, begin by listing detailed duties, responsibilities and expectations. We have included data science manager job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Science Manager Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Science Manager
List any licenses or certifications required by the position: PMP, PMI, FPX, AWS, II, PRINCE, ACP, TDWI, CSPO, CSM
Education for Data Science Manager
Typically a job would require a certain level of education.
Employers hiring for the data science manager 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 Data Science Manager
Desired skills for data science manager include:
Desired experience for data science manager includes:
Data Science Manager Examples
Data Science Manager Job Description
- Project & customer management
- Assess specific operational issues / areas (such as what work gets done in what regions, cost benefit analysis, establishing best practices, creating models for business problems, etc) for improvement and develop an approach / design for addressing the same through detailed analysis and / or interaction with key departments / functions leaders
- Takes overall responsibility for the project, including thought leadership role in problem solving and developing recommendations and executing them for a global organization
- Can play an individual delivery role in executing complex, large analytical and problem solving modules in vast areas
- Synthesizes team's work to create deliverables, including reports, spreadsheets, presentations and other outputs to document and communicate findings to customers
- Collaborates with and presents business recommendations to various stakeholders
- Conceptualize and test various statistical models
- Integrate the outcomes as real-time analytics
- Interact with internal clients to understand their requirements for predictive analytics applications
- Cooperate with the Business Data Science team to design and execute replicable data acquisition and utilization processes
- Expertise in leveraging R and Python to perform statistical analysis automate processes
- Familiarity with accessing and manipulating data via APIs
- Experience with media or consumer facing tech a plus
- Expertise in statistical modeling/ machine learning
- Proficiency in SQL and a statistical analysis tool such as R or SAS
- Experience with accessing and manipulating data in Hadoop/Hive
Data Science Manager Job Description
- Lead and complete complex projects of analytical topics to a broad audience of peers and management teams
- Responsible for prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to provide insights and development of data products
- Plan and ensure delivery of ongoing end user training and education for greater awareness of analytics tools and data, deeper analytical skills, and greater self service capabilities
- Manage, mentor, and develop members of the Analytics team
- Meeting with clients to understand their most challenging business issues and designing practical yet impactful data-driven solutions tailored to their unique needs
- Delivering end-to-end analytics services from data ingestion, modeling, and visualization to documenting insights and recommendations in client deliverables and presentations
- Leveraging your unique data analytics capabilities and industry experience to synthesize complex data into actionable recommendations for our clients
- Supporting a variety of consulting responsibilities from contributing the growth of a newly formed analytics team to supporting practice development
- Lead and create a team of data scientists
- Participate in all activities based on corporate analytics vision and strategy intended to serve both internal business to create value for GBI's clients
- Strong knowledge of databases and/or data models, Statistics (Regression, Clustering, Decision trees, Hyper graphs ), Simulation, scenario analysis
- Prior experience in Advertising Technology
- Track record delivering successful data science projects and managing global teams
- Proven success generating growth and hitting revenue targets
- Expert knowledge of data modeling techniques and high-volume ETL design
- Strong SQL optimization and performance tuning experience in a high volume data environment that utilizes parallel processing
Data Science Manager Job Description
- Tracks data science program initiatives against schedule, forecast and objectives, reporting status to commercial, marketing and executive teams
- Manage, mentor and develop a high-performing team of 5 – 10 engineers who mission is to build and support a world class Data Science platform
- Work directly with T Rowe clients and stakeholders to present and explain the key techniques and major results generated using non-technical language
- Take ownership for the overall planning, execution and success of complex technical projects
- Lead cross-disciplinary collaboration between data science, data engineering, business intelligence and the product management team to ensure we are building the best products
- Oversee and ensure the application designs and engineering processes of your team fulfill the target operating model and architecture with maximum agility and efficiency
- Work closely with architecture team to organize and participate in architecture reviews, develop practices and ensure standards and roadmaps are adhered to
- Conducting release planning, sprint planning, product and sprint backlog grooming, sprint reviews, retrospectives, daily standup meetings, user story development, estimation, and other related activities
- Manage the Data Science team
- Grow the Data Science team
- Needs to have a fundamental statistics knowledge to be able to answer questions about underlying algorithms and processes
- Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, Association Rule, Linear and non-linear regression, hierarchical mixed models/ multi-level modeling
- R & Python hands on experience is a must
- Experience in Azure ML is preferred
- 8+ years of work experience in predictive projects
- Consulting experience would be preferred
Data Science Manager Job Description
- Ensure proper use of Sony data assets by working closely with data governance and compliance professionals
- This person will be the main point of contact for the BI data mart and analytical platform
- Stitch together DSP, DMP, Ad Server and Ad Verification data together using appropriate methods
- Reach, Frequency and Overlap Analysis, Path-To-Conversion Analysis and Attribution Analysis
- Identify measurement and reporting needs and implement across all channels (programmatic and non-programmatic)
- Stay current with rapidly developing Big Data technologies landscape and share knowledge with internally and with customers
- Line manager of junior members of the team to deliver insight projects to the business
- Deliver end to end project, from scoping out the project with the business through to delivering the project back to the business
- Help develop the central analytics function as a best-in-class team in the business and the wider industry, through development & implementation of new methods and best practices
- Work with the wider Data Insight team to help build a world class toolset for the team and the wider business
- Participate in client discussions, interact with client organization to articulate the value of data science approaches, different service offerings and guide them on implementation of the same
- Knowledge and Experience on visualization tool Tableau is necessary
- Knowledge of big data distributed programming languages, and ecosystems
- Preferred experience with NLP, Graph Theory, Neural Networks (RNNs/CNNs), sentiment analysis
- Strong analytical, data analysis, machine learning algorithms skills
- MBA or Master's Degree in a quantitative or business discipline from a premier institute
Data Science Manager Job Description
- Plays an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions
- Provide scalable machine learning scoring engines
- Interact with Product teams to understand the problem domain and with researchers to enable them to quickly build the models
- Evaluate Technologies in the Analytics and Machine learning area
- Performs performance audits and health checks on projects and programs
- Conduct transaction data analyses with Hadoop/Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
- Leverage the power of our Hadoop data environment to drive the data science agenda within the Analytics and Insight team
- Enable us to revolutionise how we use behavioural data for improving how we deal with and what we offer to our millions of customers
- Reporting into the Head of Analytics and be responsible for the design and delivery of advanced analytical and data science capabilities within British Gas’s UK Home
- Manage a team that researches, tests, and deploys of a diverse set of data science models
- Help the Practice Manager to define & deploy the strategy for the Data Science domain (with the support from Business Unit Director, Sales & Marketing)
- Assist Sales with pre-sale activities (presentations, offers…)
- Insure the growth of the Practice through the recruitment of new consultants (with the support from HR)
- Manage the professional development of the data scientists team members (evaluation and training of the consultants with the support from HR)
- Coach consultants
- Develop domains methods and techniques