ML Engineer | $56/hr Remote | Mercor

Summary: The role of Data Scientist at Mercor, facilitated by Crossing Hurdles, involves analyzing complex datasets and building predictive models to support AI research. The position requires a Kaggle Grandmaster or equivalent, with a strong background in data science and machine learning. The role is remote and offers flexible hours ranging from 10 to 40 per week. Compensation is set at $56 per hour.

Key Responsibilities:

• Analyze large, complex datasets to identify patterns and generate actionable insights.
• Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types.
• Design and implement rigorous experiment frameworks and validation strategies.
• Automate workflows, feature pipelines, and reproducible research environments.
• Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes.
• Collaborate with ML engineers and research teams to productionize models at scale.
• Present findings through clear documentation, dashboards, and reports.

Key Skills:

• Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top-tier rankings).
• Strong experience in data science, analytics, or ML-driven research.
• Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn.
• Solid knowledge of experiment design, causal inference, and statistical modeling.
• Familiarity with SQL, distributed data systems, and experiment tracking tools.
• Excellent communication and data storytelling skills.

Salary (Rate): £56.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT