Data Science Manager
Data Science Manager
Posted on :
27-06-2025
Employer Active
1 Vacancy
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Job Description
- Directly manage analyst project work and overall performance including effective career planning; have difficult conversations and deliver constructive feedback with support from senior management.
- Interview hire and train new employees.
- Analyze team KPIs develop solutions and alternative methods to achieve goals.
- Build positive and productive relationships with clients for business growth.
- Understand client needs and customize existing business processes to meet client needs.
- Promptly address client concerns and professionally manage requests and projects.
- Work as a strategic partner with leadership teams to support client needs.
- Work with practice leaders and clients to understand business problems industry context data sources potential risks and constraints
- Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons
- Work with practice leaders to get stakeholder feedback get alignment on approaches deliverables and roadmaps
- Develop a project plan including milestones dates owners and risks and contingency plans
- Create and maintain efficient data pipelines often within clients architecture. Typically data are from a wide variety of sources internal and external and manipulated using SQL spark and Cloud big data technologies
- Assemble large complex data sets from client and external sources that meet functional business requirements.
- Build analytics tools to provide actionable insights into customer acquisition operational efficiency and other key business performance metrics.
- Perform data cleaning/hygiene data QC and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues
- Conduct statistical data analysis including exploratory data analysis data mining and document key insights and findings toward decision making
- Train validate and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools
- Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
- Assist client to deploy models and algorithms within their own architecture
Qualifications :
- MS degree in Statistics Math Data Analytics or a related quantitative field
- 4 years Professional experience in Advanced Data Science such as predictive modeling statistical analysis machine learning text mining geospatial analytics time series forecasting optimization
- Experience with one or more Advanced Data Science software languages (R Python Scala SAS)
- Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
- Experience with SQL and relational databases query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
- Experience with spark and data-frames in PySpark or Scala
- Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
- Comfortable with cloud-based platforms (AWS Azure Google)
- Experience with Google Analytics Adobe Analytics Optimizely a plus
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Key Skills
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