Senior Data Scientist

People In AI; United States; Remote; USD 160,000 - 175,000; Full time

Job summary

An innovative firm is seeking a Senior Data Scientist to enhance decision-making systems through advanced modeling techniques. In this remote role, you'll collaborate with a talented team to design and implement models that tackle real-world challenges. With a focus on ranking and retrieval, you'll leverage your expertise in machine learning and data science to drive impactful results. This opportunity offers autonomy, minimal bureaucracy, and significant potential for growth as you contribute to cutting-edge projects that shape the future of intelligent systems.

Benefits

Vision insurance

Medical insurance

401(k) plan

Qualifications

• 3+ years of experience in data science or ML engineering roles.
• Experience with ranking or recommendation systems in production.

Responsibilities

• Build models for retrieval, ranking, and personalization.
• Evaluate model quality through metrics like MAP and NDCG.

Skills

Data Science

Machine Learning

Python

Statistical Intuition

Model Evaluation

Education

Bachelor's Degree in Data Science or related field

Tools

PyTorch

TensorFlow

Scikit-learn

XGBoost

Job description

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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

Direct message the job poster from People In AI

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, Recall@K, 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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Inferred from the description for this job

Vision insurance

Medical insurance

401(k)

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