AI Summary
Analyze large datasets, build predictive models, and guide modeling decisions. Collaborate with ML engineers and present findings through structured dashboards. Work independently in a fully remote environment.
Key Highlights
Analyze large, complex datasets to uncover patterns and generate insights
Build predictive models, statistical analyses, and machine learning pipelines
Collaborate with ML engineers to productionize models and ensure data systems scale reliably
Technical Skills Required
Benefits & Perks
Flexible engagement (30–40 hrs/week or full-time)
Hourly contract with $56–$77/hour compensation
Remote work
Job Description
Position: Data Scientist (Kaggle Grandmaster)
Type: Hourly contract
Compensation: $56–$77/hour
Location: Remote
Commitment: Flexible engagement (30–40 hrs/week or full-time)
Role Responsibilities
- Analyze large, complex datasets to uncover patterns, generate insights, and guide modeling decisions.
- Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, and multimodal data.
- Design and implement robust experiment frameworks, validation strategies, 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 results into clear, actionable recommendations for engineering, product, and leadership stakeholders.
- Collaborate with ML engineers to productionize models and ensure data systems scale reliably.
- Present findings through structured dashboards, reports, and technical documentation.
Requirements
- Kaggle Competitions Grandmaster status or comparable top-tier competitive achievements.
- Strong proficiency in Python and data science libraries such as Pandas, NumPy, Polars, and scikit-learn.
- Hands-on experience building end-to-end ML models, including feature engineering, training, and evaluation.
- Solid understanding of statistical methods, experiment design, and analytical reasoning.
- Familiarity with modern data stacks, including SQL, dashboards, and experiment tracking tools.
- Excellent communication skills with the ability to clearly present analytical insights.
- Ability to work independently in a fully remote, contract-based environment.
Application Process
- Upload resume
- Interview (15 min)
- Submit form