Senior Data Scientist

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This range is provided by People In AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00/yr - $175,000.00/yr

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Placing the Top AI and Machine Learning Talent

Senior Data Scientist (Ranking & Recommendation Systems)

Remote (US Only)

$160,000 – $175,000 Base + Bonus

Eligibility: U.S. Citizens or Green Card Holders Only

We’re looking for a sharp, pragmatic Senior Data Scientist to join a high-impact team focused on ranking, retrieval, and intelligent prioritization systems. This is a modeling-forward role for someone who thrives on solving real-world problems using clean code, principled experimentation, and scalable ML infrastructure.

Why This Opportunity?

Build the Core Intelligence Behind Decision Systems

• Design models that retrieve and rank high-value entities under noisy, ambiguous conditions.
• Apply techniques from recommender systems, representation learning, and constrained optimization to drive measurable outcomes.
• Collaborate cross-functionally to translate product intuition and messy data into well-defined modeling problems.

Technical Team, Product-Minded Culture

• Work with a team of applied scientists, engineers, and product leaders who bring deep experience in ML infrastructure and system design.
• Emphasis on upstream modeling — the work starts well before model selection and continues through post-deployment iteration.
• Contribute to an environment that values curiosity, rigor, and getting things done without excess process.

Remote-First with Room to Grow

• U.S.-based remote role with flexibility and focus.
• Minimal bureaucracy, lean processes, and full autonomy to drive your work forward.
• Opportunities for advancement, technical ownership, and mentorship as the team scales.

What the Role Involves

• Build and iterate on models for retrieval, ranking, and personalization using collaborative filtering, embeddings, and optimization-based approaches.
• Evaluate model quality through MAP, NDCG, , and other offline metrics.
• Partner with engineers to deploy models into production and monitor their performance.
• Write clear, reproducible research and run offline experiments to support ongoing improvements.
• Help define and improve best practices for experimentation, testing, and code quality.

What We’re Looking For

• 3+ years of experience in data science, ML engineering, or applied modeling roles.
• Experience with ranking or recommendation systems, ideally in production environments.
• Proficiency in Python and modern ML libraries such as PyTorch, TensorFlow, Scikit-learn, or XGBoost.
• Strong statistical intuition, hands-on coding skills, and an understanding of model evaluation.
• Comfortable working independently, taking ownership of end-to-end modeling tasks.
• Bonus: background in optimization, information retrieval, or experimentation infrastructure.
• Must be a U.S. Citizen or Green Card holder.

This is a rare opportunity to work on technically rich problems with immediate real-world impact — in a fast-moving team that values clear thinking, clean modeling, and production-grade execution. If you're excited about building intelligent ranking systems from the ground up, we’d love to hear from you.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Research

• Industries

  Retail, Research Services, and Hospitals and Health Care

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Vision insurance

Medical insurance

401(k)

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