Manager, Data Scientist

Ebates Performance Marketing • Ossian, IN

284d • $132,082 - $226,820

About The Position

Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment and communications, bringing the joy of discovery and access to more than 1 billion members across the world. Our teams deliver on the company's mission to delight merchants and customers through innovation, optimism, and teamwork. Rakuten Rewards is a leading e-commerce company that enhances the way people shop by offering Cash Back, deals and rewards from more than 3,500 merchants. Founded in 1999, Rakuten has grown to become the go-to shopping destination for consumers, having paid out nearly $2 billion in Cash Back to its 15 million members. The company also operates ShopStyle, a leading fashion discovery destination, and Cartera Commerce, a top rewards platform for airlines and banks. The Data Science team supports a wide spectrum of business domains including user experience personalization, forecasting and optimization of advertising campaigns, anomaly detection/alerting, etc. As a Data Science Manager at Rakuten Rewards, you will have the opportunity to develop and deploy solutions to challenging, practical business problems. Your work will improve the experience of our members and impact the business bottom line.

Requirements

• Strong people-management and organizational skills.
• Very strong SQL skills.
• Experience with big data and machine learning frameworks.
• Python/sklearn/pytorch strongly preferred.
• Practical experience with multiple ML problem types (supervised/unsupervised, classification/regression, RL experience is a plus).
• Very strong communication skills, including written communication.
• Strong software development skills.
• Strong problem solving and collaboration skills.
• Firm understanding of statistics and A/B test fundamentals.
• Deep learning/NN experience is a plus.
• Experience with NLP and GenAI is a plus.

Nice To Haves

• Experience in ad-tech and/or consumer services is desirable but not essential.

Responsibilities

• Collaborate closely with stakeholders to clarify and refine definition of business problems.
• Lead the translation of business problems into machine learning problems, including ML problem formulation and evaluation metric specification.
• Meet regularly with direct reports, coaching them on project definition and execution.
• Perform employee evaluations and guide direct reports in career development.
• Develop and maintain DS/ML project plans.
• Lead status and technical reviews.
• Adapt project execution, balancing technical, cost and schedule considerations.
• Facilitate regular progress reporting to stakeholders.
• Maintain technical documentation, develop/deliver demos and presentations.
• Contribute individually to all phases of development including model selection, feature engineering, offline experimentation, deployment, testing, maintenance, documentation.

Benefits

• Discretionary bonus
• Health insurance
• Vision insurance
• Dental insurance
• 401k matching
• PTO
• Volunteer Time Off (VTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Master's degree