SENIOR DATA SCIENTIST (Machine Learning)

• Client: Major Consumer Retail Chain
• Location: Full-time / Fully Remote Position
• Compensation: Very competitive for each US Market
• Sponsorship: Not Available

About the Role:

Looking for highly curious, Data Scientists ready to leverage machine learning technologies to turn insights into data products that grow sales and profitability for a major US Consumer Retail Chain.

You will work within an Agile Team building data products most suitable for your skills.  The types of solutions you would work on involve: Supply Chain Optimization, Pricing & Discounting, and Personalized Multi-channel Marketing.

Objectives:

• Generate opportunities to grow sales and profitability through the use of data science-driven applications in retail.
• Frame problems, determine best quantitative/ML approach to develop the solution
• Design experiments to answer targeted questions
• Use advanced statistical analysis, predictive modeling and data mining.
• Develop novel algorithms and mathematical approaches to understanding Audience Segments and optimizing marketing and operational performance.
• Conduct research on new ways to model and predict user behavior.

Skills/Experience Needed

• Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power aspects of highly complex models.
• Experience using modern analytics toolkit (i.e. Python, R, SQL, Spark (BigQuery), etc.
• Strong problem solving and communication skills
• Experience proposing rapid experiments to test strategies and initiatives, and iterate quickly

MUST HAVES:

• Relevant PhD + 2 years in industry as a Data Scientist [OR] a Relevant Masters + 4 years in industry as a Data Scientist.
• Python, R, Spark proficiency
• Retail, Marketing or Supply Chain Management/Logistics experience

To Apply: Please send an email to Ted@starbridgepartners.com