Position: Data Scientist

Type: Contract Compensation: $56–$77/hour Commitment: 30–40 hours/week Role Responsibilities

• Analyze large, complex datasets to uncover patterns and inform modeling direction. Collaborate with researchers and engineers to design rigorous experiments.
• Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data.
• Design and implement robust validation strategies and experiment frameworks. Develop data-driven frameworks to support product and research decisions.
• Develop automated data workflows and feature pipelines. Ensure reproducible research environments.
• Conduct exploratory data analysis, hypothesis testing, and model-driven investigations. Translate outcomes into recommendations for engineering, product, and leadership teams.
• Collaborate with ML engineers to productionize models. Ensure data workflows operate reliably at scale.

Qualifications Must-Have

• Kaggle Competitions Grandmaster or comparable achievement.
• 3–5+ years of experience in data science or applied analytics.
• Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn).
• Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment.
• Solid understanding of statistical methods and experiment design.
• Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools.
• Excellent communication skills.

Preferred

• Strong contributions across multiple Kaggle tracks.
• Experience in an AI lab, fintech, product analytics, or ML-focused organization.
• Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data.
• Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery).
• Familiarity with statistical modeling frameworks such as Bayesian methods.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,