Data Scientist

6 months ago

Toronto, Canada Rekuten Global Full time

Job Description:
Do you love solving complex business problems using statistical modeling and machine learning? Do you want to contribute to the transformation of a business at scale, introducing automation and optimization across products and business systems? Rakuten Rewards is looking for a data scientist.

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 scientist 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 with manager and stakeholders to specify business problems with precision
- Support the translation of business problems into machine learning problems, including ML problem formulation and evaluation metric specification.
- Perform exploratory data analyses to characterize utility of existing data and to identify needs for new data
- Develop data pipelines for feature computation, model training, inference and evaluation
- Design and execute offline experiments and simulations
- Lead model deployment, business integration and online performance assessment
- Maintain technical documentation, develop/present demos and presentations
- Support management in project planning and status reporting

MINIMUM REQUIREMENTS
- 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)
- Strong software development skills
- Strong problem solving, communication and collaboration skills
- Firm understanding of statistics and A/B test fundamentals
- Experience with NLP techniques is a plus
- Deep learning/NN experience is a plus

QUALIFICATION REQUIREMENTS
- Bachelor’s degree in AI/ML, computational mathematics, computer science, statistics, physics or related field. Master’s degree strongly preferred.
- Experience in ad-tech and/or consumer services is a plus

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._

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