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Data Science Manager
Data Science ManagerHoxton Circle • New York, NY, United States
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Data Science Manager

Data Science Manager

Hoxton Circle • New York, NY, United States
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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)
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