Senior Data Scientist in Toronto

Senior Data Scientist in Toronto

Toronto Full-Time 90000 - 110000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead data analysis to enhance customer financing experiences and drive sales.
  • Company: Join Clutch, a rapidly growing auto retailer in Canada.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on innovation and impact.
  • Why this job: Shape the future of FinTech and make a real difference in auto financing.
  • Qualifications: Experience in data science and strong analytical skills required.

The predicted salary is between 90000 - 110000 $ per year.

Clutch is hiring a Senior Data Scientist to shape the future of our financial services at one of Canada's fastest-growing auto retailers. You will own analysis from pre-qualification to purchase, building models and experiments that improve how customers understand affordability and move from browsing to buying. You'll work with data engineering, product, marketing and engineering to scale the financing experience, quantify impact on conversion and order value, and translate findings into actionable insights.

Senior Data Scientist in Toronto employer: Clutch Canada

D-Wave Quantum Inc. is an exceptional employer, offering a dynamic work environment in Burnaby, Canada, where innovation thrives in the realm of quantum technologies. Employees benefit from a collaborative culture that fosters professional growth and encourages creative problem-solving, while also having access to cutting-edge resources and opportunities to contribute to groundbreaking advancements in quantum computing. Join us to be part of a team that values your expertise and supports your career development in a rapidly evolving field.

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Contact Details:

Clutch Canada Recruitment Team

We think you need these skills to ace Senior Data Scientist in Toronto

Data Analysis
Statistical Modelling
Machine Learning
Experiment Design
Data Engineering Collaboration
Financial Services Knowledge
Customer Behaviour Analysis