Join a dynamic eCommerce company as a Manager, Data Science & Business Intelligence, 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)
