Data Science Manager

Remote Role - Data Science Manager - eCommerce Brand

Join a dynamic eCommerce company as a Manager, Data Science where you'll build out a best in class capability across an established but growing company. This is a role with tons of exposure to the C-suite and room for impact.

As a Manager, Data Science & Business Intelligence:

• You'll build out best-in-class modeling and analytical capabilities shortening the critical path between measurement and action.
• You'll develop and deploy of models across a wide range of functional areas – including Finance, Operations, Marketing, and Customer Service – and will design and implement dashboards, reports, and visualizations to make the team’s results understandable for business users across the company.
• You'll create statistically rigorous experiments and scalable A/B testing frameworks, implement algorithmic recommendation models, and conduct forecasting, clustering, and regression analyses.
• You'll have core ownership of reporting & dashboarding within our Tableau ecosystem
• You'll solve problems in the realms of pricing, forecasting, supply-chain management, digital measurement, and assortment optimization
• You'll focus on shortening the path between measurement and action, transforming raw data into rigorous models, user-friendly dashboards, and high-visibility KPIs.
• You'll translate from data to models to insights, build out a suite of dashboarding solutions, and turn your quantitative recommendations into business decisions

Core Responsibilities:

• Reporting: Build, support, and maintain a wide range of dashboards and reports, ensuring that each asset features rigorous analytic approaches and strong visual design
• Data Science Modeling: Design and construct predictive models and analytic decision-making pipelines, using both supervised and unsupervised learning techniques
• Experimentation: Conduct experiments in pricing, marketing, website design, and user recommendations, building rigorous A/B testing frameworks and strong causal inference models
• Teaching: Ensure that associates throughout are trained on the tools, systems, and dashboards that you build, and are empowered to deliver independent analytics of their own.
• Data Engineering: Work to understand business problems, design quantitative solutions, and translate those solutions into rigorous requirements for our Data Engineering teams, building better data structures for the organization as a whole
• Data: Take ownership of the structure, availability, completeness, and accuracy of the company's data, ensuring that each component of our analytic processes can be trusted and relied upon.
• Insights: Fulfill ad-hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders.

Must have:

• Really strong Project Management experience
• Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or a related field
• 4-8+ years in analytical roles, with a focus on quantitative analysis and dashboards
• Expert-level fluency in both SQL and Tableau, with the ability to communicate these skills to others.
• Statistical and data scientific experience across a strong breadth of models and approaches, from traditional regression and clustering techniques to modern forecasting algorithms and recommendation models – preferably in Python or R
• Exposure to multiple analytic domain spaces (e.g., revenue management, assortment, forecasting, digital optimization, segmentation, etc).
• Excellent relationship management, communication, and data-presentation skills, including a strong eye for the creation of compelling visual narratives.
• The ability to take initiative, act independently, and function under ambiguity.

Helpful, but not required:

• Experience with Snowflake and associated tools
• Project Management tools/framework exposure - Agile, Six Sigma, etc.
• Familiarity with data engineering pipelines and systems (dbt, airflow, etc)
• Hands-on data-scientific modeling experience in R or Python
• Knowledge of best-practices in data-governance and data-security
• Exposure to database administration principles and schema design
• Competency in Agile-based approaches and frameworks

Compensation:

• Base salary $155k - $160k + cash bonus + benefits and flexible for the perfect candidate

Hybrid Schedule:

• 3 days per week in the Manhattan office (mid-town)