Data Science Manager

Hoxton Circle

New York (NY)

Hybrid

USD 155,000 - 165,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Disability insurance

Job summary

A dynamic eCommerce company is seeking a Manager, Data Science & Business Intelligence to build out analytical capabilities. You will work closely with senior leadership and own the dashboarding within the Tableau ecosystem. Ideal candidates should have expertise in SQL, Tableau, and a strong grasp of statistical analysis techniques. This full-time position offers a competitive salary range and a hybrid work schedule in Manhattan.

Qualifications

4-8+ years in analytical roles, with a focus on quantitative analysis and dashboards.
Expert-level fluency in both SQL and Tableau.
Statistical and data scientific experience across a strong breadth of models.

Responsibilities

Build, support, and maintain dashboards and reports.
Design and construct predictive models and analytic decision-making pipelines.
Conduct A/B testing and causal inference models.
Ensure associates are trained on tools and dashboards.

Skills

Project Management

SQL

Tableau

Statistical Analysis

Data Visualization

Python

Data Presentation

Education

Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or related field

Tools

Snowflake

dbt

Airflow

Job description

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This range is provided by Hoxton Circle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$155,000.00/yr - $165,000.00/yr

Additional compensation types

Annual Bonus and Sign-on bonus

Executive & Senior Leadership Search | Finance & Accounting

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 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.