Data Science Manager

Data Science Manager
eCommerce
Remote | Greater New York Metropolitan Area
$140,000 - $160,000

A leading CPG global enterprise is looking for an experienced Data Science Manager to lead the successful predictive modeling and omnichannel analytics to meet business growth in the Greater New York Metropolitan area.

THE ROLE:

As Data Science Manager, you will work closely with the Head of Advanced Analytics in analyzing large amounts of historical data, detecting patterns, and building machine learning models to enhance the enterprise's predictive and prescriptive capabilities. You will be responsible for:

• Gathering syndicated data, analyzing it, and then building predictive models using Python or R
• Leveraging AI & ML to forecast omnichannel business for investment & product supply decisions
• Operating BI omnichannel roadmap to enable senior management & incremental sales
• Serving as a technical advisor on key global projects to various stakeholders across the business

YOUR SKILLS & EXPERIENCE:

• Progressive experience in Advanced Analytics, Data Science, Machine Learning, & Artificial Intelligence
• Proven experience working directly in a major retailer capacity
• Exceptional project management and stakeholder engagement skills
• Proven hands-on experience building predictive models in Python, R, or SQL
• Strong technical skills using ThoughtSpot or similar query-based BI program
• Strong understanding of omnichannel analytics and machine learning
• Proven experience working with large amounts of syndicated data (IRI, Nielsen, NPD, etc.)
• Proven experience building roadmaps, forecasting sales, and performing ROI analysis
• Strong written/verbal communication and presentation skills across the business
• Extensive experience working with sales, business intelligence, and shopper research
• Bachelor's degree in Computer Science, Mathematics, Statistics, or related field; Master's preferred

BENEFITS:

As Data Science Manager, you can make up to a $160,000 base (depending on your experience).

HOW TO APPLY:

Please register your interest by sending your resume to George Little via the apply link on this page.

KEYWORDS:

Omnichannel, Data Science, Machine Learning (ML), Artificial Intelligence (AI), Advanced Analytics, Predictive Analytics, Python, R, SQL, ThoughtSpot, Business Analytics, Tableau, PowerBI, IRI, Syndicated Data, Road Mapping, Sales Forecasting, ROI Analysis, Prescriptive Analytics, Predictive Models, Power BI, Cluster Analysis, Churn, Regression