Data Scientist [82074]

A leading technology company is hiring a Data Scientist to help build, evaluate, and deploy machine learning and Large Language Model (LLM) solutions that power personalization and user engagement at scale. This is a highly hands-on role at the intersection of ML, experimentation, statistics, and product analytics, partnering closely with Product, Engineering, and Data Science teams.

Type: 12-month contract (potential to convert based on budget)

Location: 100% remote (U.S.-based), must work PST hours

Responsibilities:

• You’ll work in a deeply analytical, high-standard environment where methods and results are carefully reviewed—and where your work can meaningfully impact products used by millions of users.
• Build, evaluate, and deploy ML + LLM-driven models into production.
• Develop personalization and recommendation approaches to improve user experience and engagement.
• Lead experimentation (A/B test design, statistical analysis, and readouts).
• Analyze user behavior and feature adoption to identify optimization and growth opportunities.
• Apply causal inference methods to measure impact and support decision-making.
• Partner with engineering to ensure solutions are scalable, reliable, and production-ready.
• Communicate insights clearly to both technical and non-technical stakeholders.
• Own projects end-to-end: from initial hypothesis through deployment, monitoring, and iteration.

Qualifications:

• PhD + 4+ years industry experience (postdoc considered)
• MS + 6–8+ years
• BS + 8–10+ years (in a quantitative field such as ML/AI, Statistics, Math, or Computer Science)
• Expert Python
• Advanced SQL
• Experience deploying ML models into production
• Hands-on experience with LLMs (evaluation, experimentation, implementation)
• Strong statistics background, including:
• Experimentation / A/B testing
• Causal inference
• Familiarity with common ML approaches (e.g., classification/predictive modeling, clustering, random forests)
• Experience with large-scale consumer datasets and user interaction data

Nice to Have

• Background in gaming, streaming/entertainment, subscription businesses, travel, consumer tech, or e-commerce
• Experience with recommendation systems, personalization engines, lifecycle optimization, or engagement modeling

Perks and Benefits:

• Medical, Dental, and Vision Insurance.
• Life Insurance.
• 401(k) Program.
• Commuter Benefit.
• eLearning and Ongoing Training.
• Education Reimbursement.
• Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks.

If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.