Rakuten Americas (501+ Employees, 8% 2 Yr Employee Growth Rate)

7% 1-Year Employee Growth Rate | 8% 2-Year Employee Growth Rate | LinkedIn | $34.5M Venture Funding

What Is Employee Growth Rate & Why Is It Important?

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? Would you enjoy managing/guiding a team of data scientists while keeping your hands dirty with your own machine learning projects?

Rakuten Rewards is looking for a Data Science Manager / Senior Data Scientist.

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. The scope of our work is broad and still expanding. As a leader within the Rakuten Rewards Data Science team, you will have the opportunity to create broad impact across our products and operations.

KEY RESPONSIBILITIES

  • This role includes significant leadership responsibilities
  • Organizational leadership: responsible for employee evaluation and growth
  • Product/project leadership: supporting business problem definition, ML problem formulation, etc.
  • Technical leadership: leading definition of ML projects, insightfully supporting technical reviews, etc.
  • It also includes responsibilities for individual contribution. Over half of your time will be devoted to R&D. You will contribute concrete ML data products to the business.
  • ML project management
  • ML problem formulation, model selection, feature engineering
  • Deep learning model architecture and implementation
  • Offline experimentation, evaluation, simulation
  • Model deployment and testing

REQUIREMENTS (Knowledge, Skills, Abilities)

  • Strong problem solving and communication skills
  • Strong mathematical and statistical skills
  • Demonstrated management ability
  • Experience with big data and machine learning frameworks. Python, sklearn, pytorch preferred.
  • Practical experience with multiple ML problem types (e.g. supervised/unsupervised, regression/classification)
  • Expertise with classical machine learning and deep learning
  • Experience and demonstrated expertise through all phases of ML product development
  • Experience in ad-tech and/or consumer services a plus

QUALIFICATION REQUIREMENTS

  • Master’s or PhD degree in AI/ML, computational mathematics, computer science, statistics, physics or related field.
  • 5+ years industry experience applying data science, machine learning methods, statistical computing and modelling to real-world problems
  • 2+ years’ experience managing a team

Tagged as: 501+ Employees, Hide US-Only Jobs, Venture Funded

Job Overview
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