Senior Data Scientist, Ranking & Relevance Lead

Senior Data Scientist, Ranking & Relevance Lead

Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead data science strategy for ranking and relevance, driving impactful outcomes.
  • Company: Join Fetch, a forward-thinking company focused on innovation.
  • Benefits: Attractive salary, flexible work options, and opportunities for growth.
  • Other info: Collaborative environment with mentorship opportunities and career advancement.
  • Why this job: Shape the future of data science while making a real difference.
  • Qualifications: Proven experience in data science and strong analytical skills.

The predicted salary is between 121500 - 148500 $ per year.

Fetch is seeking a senior data scientist to own the data science strategy for ranking and relevance.

You will partner with product, engineering, and ML teams to drive advertiser outcomes, user value, and long-term economics, building scalable frameworks and reusable methods for consistent scientific quality.

You will design experiments, measure impact across advertiser and user segments, mentor analysts, and guide senior stakeholders on prioritization and product decisions.

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Senior Data Scientist, Ranking & Relevance Lead employer: Fetch

Fetch is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Staff Machine Learning Engineer to thrive. With a strong emphasis on mentorship and professional growth, employees are encouraged to take ownership of their projects while leveraging cutting-edge AI tools to enhance their work. Located in a flexible environment that supports remote work across Canada and the US, Fetch offers unique benefits tailored to local regulations, ensuring a rewarding and meaningful employment experience.

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Contact Details:

Fetch Recruitment Team

We think you need these skills to ace Senior Data Scientist, Ranking & Relevance Lead

Data Science Strategy
Experiment Design
Impact Measurement
Collaboration with Product Teams
Collaboration with Engineering Teams
Collaboration with ML Teams
Mentoring Analysts