Data Scientist

Rakuten Rewards; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a talented data scientist to tackle complex business challenges using statistical modeling and machine learning. In this dynamic role, you will collaborate with various stakeholders to transform business problems into machine learning solutions, enhancing user experiences and optimizing processes. Your expertise in SQL, Python, and machine learning frameworks will be pivotal in developing data pipelines and deploying models that drive impactful business decisions. Join a forward-thinking team where your contributions will significantly influence the organization and its members' experiences.

Qualifications

• 3+ years of experience in applying ML methods to real-world problems.
• Strong software development and statistical analysis skills required.

Responsibilities

• Collaborate with stakeholders to define and solve business problems.
• Develop data pipelines and lead model deployment for business integration.

Skills

SQL

Machine Learning

Python

Statistical Analysis

Problem Solving

Communication Skills

Collaboration Skills

Education

Bachelor’s degree in AI/ML, computational mathematics, computer science, statistics, or physics

Master’s degree in relevant field

Tools

PyTorch

scikit-learn

Big Data Frameworks

Job description

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

• 3+ years industry experience applying machine learning methods to solve real-world problems
• 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