YO IT Consulting
Data Scientist - Kaggle Grandmaster
YO IT ConsultingLuxembourg21 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
Engagement Type: Independent Contractor

Work Mode: Fully Remote

Hours: 30-40 hours/week or Full-Time (Flexible)

About The Role

We are partnering with a leading AI research lab to hire 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 collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions.

Key Responsibilities

  • Analyze large, complex datasets to uncover patterns and generate actionable insights
  • Build predictive models and ML pipelines across:
    • Tabular data
    • Time-series data
    • NLP
    • Multimodal datasets
  • Design and implement validation strategies, experimental 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
  • Translate analytical results into clear recommendations for engineering, product, and leadership teams
  • Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale
  • Present findings via dashboards, structured reports, and documentation
Required 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, deployment)
  • Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis
  • Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools)
  • Excellent communication skills and ability to present analytical insights clearly

Nice to Have

  • Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code)
  • Experience in AI labs, fintech, product analytics, or ML-driven organizations
  • Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data
  • Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.)
  • Familiarity with Bayesian methods or probabilistic programming frameworks

Why Join

  • Work on cutting-edge AI research workflows
  • Collaborate with world-class data scientists and ML engineers
  • Solve high-impact, real-world data science challenges
  • Experiment with advanced modeling strategies and competition-grade validation techniques
  • Flexible engagement options ideal for Kaggle-level problem solvers

Key Skills

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