Title: MANAGER, DATA SCIENCE: MERCHANDISE FINANCIAL PLANNING
Client: Top 20 Nation Retailer
Sponsorship: Not Available
Location: Fully Remote
Type: Full-Time W2 Postion
Job Summary:
Responsible for the management of a team of data scientists and business analysts that are interpreting and applying data in analyses, and frequently communicating findings to business audiences, to improve products and processes. Projects support business decision-making for multiple business functions.
“In this position, you will be responsible for shaping and leading the strategic product vision for well-established applications in a dynamic demand environment and for enhancing supply chain capabilities over the long term.”
JOB RESPONSIBILITIES:
- Lead product decisions through data and insights; set goals, and identify the right levers to achieve those goals.
- Lead product team in determining intended approach and quantitative methods to develop solutions.
- Oversee design experiments to answer targeted questions.
- Identify and drive continuous improvement of key business metrics in assigned business functional area.
- Drive adoption and usage of analytical products and models.
- Translate analytical outputs into business outcomes / value delivered - ability to break complex math into business outcomes.
- Maintain strong business partner relationships to gain cross organization alignment.
- Engage leaders across the organization in maximizing analytical capabilities to drive business optimization.
- Think in terms of iterative development, document, and communicate throughout products data science lifecycle.
- Build and validate models.
- Commit time, focus and energy on the development, coaching and performance feedback for each team member.
- Funnel organizational communication and direction to the team.
- Advocate for team by moving decisions forward and eliminating barriers.
- Manage/Mentor 2-3 Data Scientists
QUALIFICATIONS:
- Experience developing custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure analytics deliverables meet stakeholders need
- Experience developing state of the art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models
- Strong experience with forecasting models, running simulations of what-if analysis, and prescriptive analytics
- Experience with time series analysis, predictive modeling and causal ML algorithms
- Experience in supply chain, merchandise, inventory planning, or vendor management
- Experience working directly with cross-functional teams such as leadership, product management, design and engineering
- Experience using modern analytics tools and languages such as Python, R, Spark, SQL (BigQuery)
- Experience with Google Cloud Computing, Microsoft Azure, or AWS cloud platforms. Familiarity with GCP and Vertex AI ideal
- Experience documenting, synthesizing, and communicating results at all levels of the organization
- Strong problem solving skills with an emphasis on product development
- Experience proposing rapid experiments to test the effect of new strategies or initiatives, and iterating quickly
- Experience with OGSM approach - strategy development and execution
REQUIRED
- BS with 8+ years of experience (or MS with 5+ years) in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field
- People management experience, managing data scientists and data analysts
- Track record of guiding teams through unstructured technical problems to deliver business impact
- Full stack experience across data science, analytics, and data engineering
PREFERRED
- Retail experience
- Supply chain management
- Marketing models
- Logistics experience