Job Description:
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. For more information, visit www.rakuten.com.
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Job Summary:
The Data Science team supports a wide spectrum of business domains including user experience personalization (e.g. consumer recommendations), forecasting and optimization of advertising campaigns, anomaly detection/alerting, etc. The scope of our work is broad and still expanding. 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.
Key Responsibilities:
- Collaborate closely 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.
- This is a hands-on role leading a small team. A portion of your time will be devoted to individual contribution including all phases of development including model selection, feature engineering, offline experimentation, deployment, testing, maintenance, documentation.
- This is a product-oriented team. You will balance the need for short-term product solutions with the desire for longer-term sophistication.
Qualifications:
- 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.
Minimum Requirements:
- Masters or PhD degree in AI/ML, computer science, statistics, physics, applied mathematics or related field.
- 5+ years industry experience applying machine learning methods to solve real-world problems.
- 2+ years industry experience in people-management role; preferably in data science.
- Experience in ad-tech and/or consumer services is desirable but not essential.
Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
Always improve, Always Advance - Only be satisfied with complete success - Kaizen
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
Hypothesize - Practice - Validate - Shikumika - Use the Rakuten Cycle to succeed in unknown territory
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team
Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.
At the time of posting, Rakuten expects the base compensation for this role to be within the range shown below. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location. The successful applicant for this role will be eligible for discretionary bonus, health, vision, dental insurance, 401k matching, PTO, Volunteer Time Off (VTO), and other employee benefits as the company implements.
USD $132,082.50 - $226,820.00 annually