Senior Data Scientist
Department: Research
Location: Remote
Employment Type: FullTime
We are seeking Senior Data Scientists with strong analytical, statistical, and machine learning skills who can design experiments, evaluate model behavior, build data workflows, and reason clearly about data-driven decisions. Candidates should be comfortable working across the spectrum of data science tasks, including experimentation, modeling, analytics, and data pipeline evaluation.
Core Requirements
4+ years of professional experience in Data Science, Applied ML, Analytics, or Data Engineering
Strong proficiency in Python and common DS/ML libraries (pandas, NumPy, scikit-learn, Matplotlib)
Strong proficiency in SQL and experience working with real-world datasets
Ability to design, run, and interpret experiments such as A/B tests
Experience evaluating ML model performance, diagnosing failure modes, and improving model quality
Ability to analyze datasets, extract insights, and communicate findings clearly
Familiarity with data visualization tools (Tableau, Looker, Power BI, or similar)
Experience working with data workflows or pipelines (dbt, cloud warehouses, ETL concepts)
Preferred Experience
Experience training and evaluating ML models, including feature engineering
Experience with distributed data tools (Spark, Hadoop) or streaming systems (Kafka)
Familiarity with cloud data platforms such as BigQuery, Snowflake, or Redshift
Experience building dashboards, KPI tracking, and BI reporting
Exposure to LLM evaluation, benchmarking, or prompt analysis
Strong written communication skills for explaining reasoning and analytical decisions
Engagement Details
Flexible hours with a minimum commitment of 20+ hours per week
Project length 1-2 months, with a potential to extend
Compensation up to $150/task
Who will thrive in this role?
People who are most successful and satisfied in this role typically:
Value flexibility in work hours, location, and contract structure
Want to earn strong supplemental income
Are looking for a high-quality side gig, not a full-time product engineering role
Enjoy contributing to cutting edge AI research, including direct collaboration with top industry labs
Want exposure to advanced LLM systems and agentic coding workflows
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