Role Description

Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role you will transform complex datasets into actionable insights high-performing models and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments build advanced statistical and ML models and develop data-driven frameworks to support product and research decisions.

What Youll 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

• 35 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 shaping next-generation analytical systems.

• Work on high-impact data science challenges while experimenting with advanced modeling strategies new analytical methods and competition-grade validation techniques.

• Collaborate with world-class AI labs and technical teams 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 production analytics.

• Fully remote and globally flexible work structure optimized for deep analytical work async collaboration and high-output research.

Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type : Full Time
Experience: years
Vacancy: 1