This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$275,000.00/yr - $310,000.00/yr
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Principal Recruitment Consultant - Data Science, AI, and Software
Staff Data Scientist
Redwood City, California Area - Hybrid (3 days in office each week)
Salary: $275,000 - $310,000 base + bonus + equity
About the Company
This company is an eCommerce marketplace connecting millions of buyers and sellers across a thriving global community. With millions of active users, they are solving some of the most complex challenges in modern eCommerce. They are currently undergoing a major AI expansion initiative, investing heavily in machine learning and AI capabilities to deliver more personalized, efficient, and trusted marketplace experiences at scale.
About the Role
This company is seeking a highly skilled Staff Data Scientist to play a key role in their growing AI organization. In this role, you’ll design and lead high‑impact data science initiatives, building models that power critical marketplace functions such as personalization, recommendations, search ranking, content moderation, and trust & safety. You’ll be responsible for setting technical direction, mentoring other team members, and driving innovative AI solutions from concept to production.
This is a high‑ownership role where you will have autonomy to work independently, collaborate across functions, and influence the company’s AI strategy.
What You’ll Do
- Lead end-to-end ML projects for personalization, recommendations, feed ranking, and GenAI use cases.
- Partner with ML Engineers to build and scale production-ready systems.
- Drive experimentation to improve marketplace metrics (CTR, conversion, trust & safety scores).
- Mentor junior data scientists and guide technical execution within squads.
What They’re Looking For
- Strong Python skills and experience with deep learning frameworks (PyTorch preferred).
- Proven track record in recommendation systems, ranking models, NLP, or computer vision.
- Experience with large-scale consumer data in e-commerce, marketplaces, or social commerce.
- Knowledge of the full ML lifecycle and scaling models to millions of users.
- Background in high-scale consumer tech is a plus.
Culture Fit
- Collaborative and proactive, with the ability to simplify complex ideas for both technical and non‑technical audiences.
- Adaptable and comfortable with shifting priorities in a fast‑moving environment.
- High emotional intelligence with a growth‑oriented mindset.
- Open‑minded and creative, valuing a culture that embraces individuality.
Why This Role?
- Opportunity to be part of a major AI transformation with significant investment in R&D.
- Work on problems that directly impact millions of global users.
- Join a team that values innovation, collaboration, and adaptability.
If you are interested in this position and your career experience align with these requirements, please apply to the role. Additionally, send an email with your resume attached and a brief explanation on your fit for the position to Emma Spagnola at Thank you in advance!
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Analyst and EngineeringIndustries
Retail and Technology, Information and Media
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Medical insurance
Vision insurance
401(k)
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