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This job post has expired on January 02, 2026. It is likely that the position has already been filled.

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Data Scientist (Kaggle Grandmaster) at Mercor

posted 4 months ago
mercor.com Contractor remote $56/hr 309 views

Data Scientist (Kaggle Grandmaster) | $56/hr | Worldwide Remote

Mercor is hiring on behalf of a leading AI research lab seeking a highly skilled Data Scientist with a Kaggle Grandmaster profile. Transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows while collaborating with world-class researchers and engineers.

What You'll Do

  • Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction
  • Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data
  • Design and implement robust validation strategies, experiment frameworks, and analytical methodologies
  • Develop automated data workflows, feature pipelines, and reproducible research environments
  • Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams
  • Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams
  • Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale
  • Present findings through well-structured dashboards, reports, and documentation

Qualifications

  • Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance
  • 3–5+ years of experience in data science or applied analytics
  • Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.)
  • Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment
  • Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis
  • Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools
  • Excellent communication skills with the ability to clearly present analytical insights

Nice to Have

  • Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code)
  • 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 working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.)
  • Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming

Why Join

  • Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders
  • Work on high-impact data science challenges while experimenting with advanced modeling strategies and competition-grade validation techniques
  • Collaborate with world-class AI labs operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics
  • Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world analytics
  • Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research

How to apply for this role
  • Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
  • Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
  • Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.
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