Data Scientist (Remote)
Actively Hiring
Full-time $116k - $160k Posted 6 months ago
Role overview
As a Senior Data Scientist, you will work at the intersection of experimentation, advanced modeling, and production analytics. You will analyze complex datasets, design robust validation frameworks, and build scalable machine learning pipelines across a range of modalities.
This is an ideal opportunity for data scientists who thrive on competition-grade rigor and want to apply that mindset to real-world AI systems.
Responsibilities
- check_circle Analyze large and complex datasets to uncover patterns and modeling opportunities
- check_circle Develop predictive models across tabular, time-series, NLP, and multimodal datasets
- check_circle Design robust validation strategies and experimental frameworks
- check_circle Build reproducible data workflows and automated feature pipelines
- check_circle Conduct exploratory data analysis (EDA), hypothesis testing, and statistical investigations
- check_circle Collaborate with ML engineers to productionize models and ensure scalability
- check_circle Translate analytical findings into clear, structured recommendations
- check_circle Document methodologies and present insights through dashboards and reports
Basic qualifications
- Recognized achievement in competitive data science (e.g., Kaggle Grandmaster or equivalent high-level performance)
- 3–5+ years of experience in data science, machine learning, or applied analytics
- Strong proficiency in Python (Pandas, NumPy, scikit-learn, Polars, etc.)
- Experience building ML models end-to-end: feature engineering, training, evaluation, deployment
- Solid understanding of statistical methods, experiment design, and causal inference
- Experience working with SQL and modern data stacks
- Strong written and verbal communication skills
Preferred qualifications
- Contributions across multiple competitive ML tracks (notebooks, datasets, discussions, etc.)
- Experience in AI research labs, fintech, or ML-first product environments
- Knowledge of LLMs, embeddings, and multimodal modeling techniques
- Experience with distributed systems (Spark, Ray) or cloud data warehouses (BigQuery, Snowflake)
- Familiarity with Bayesian modeling or probabilistic programming
- High-performing, reproducible models with strong validation rigor
- Clear experimental design and defensible analytical conclusions
- Scalable pipelines ready for production integration
- Actionable insights that influence product and research direction
- Remote, flexible work arrangement
- 30–40 hours per week (option for full-time engagement)
- Independent contractor engagement
- Compensation: $56–$77 per hour
- Project duration may vary based on scope and performance
- Weekly payments via secure payment platform
Tags & Focus Areas
Contract Remote Ai Machine Learning Data Science