Data Scientist
Bluelabs
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About the role
Data Scientist (Full Remote)
Join Bluelabs as a Data Scientist to apply statistics, programming, and domain knowledge to solve complex problems and deliver value to clients. You’ll work in a fast-paced, production-oriented environment with strong mentorship and the opportunity to complete projects independently.
Key missions
- Design, implement, and deliver analysis products and services, including:
- Building predictive models
- Creating data visualization tools
- Collaborate with engineers, data scientists, program leads, and external stakeholders to:
- Resolve problems
- Proactively develop solutions
- Document processes and promote new approaches to support team excellence.
Requirements
- Proven track record delivering data-driven solutions to improve social outcomes
- Ability to anticipate stakeholder questions while staying objective and handling imperfect data (including knowing when to stop)
- Experience creating analytics outputs within a production-oriented team
- 2+ years in a quantitative production environment, or a postgraduate degree in a quantitative field
- Knowledge of experimental design and causal inference
- Strong communication skills to present technical concepts to non-technical audiences (written and verbal)
- Expertise building predictive models using regression and machine learning techniques
- Ability to manipulate data with SQL
- Strong understanding of statistical foundations (e.g., distributions, parameter estimation, confidence intervals, hypothesis tests)
Nice-to-haves
- Experience creating and delivering engaging data visualizations with industry-leading tools
- Comfort thinking across multiple perspectives (strategic process building, deep complex analysis, and end-user problem framing)
Technical focus (tools/languages)
- Statistical programming language: R or Python
- Predictive modeling, causal inference, experimental design, and statistics-driven modeling
About Bluelabs
Bluelabs is a data/analytics-focused team delivering production-oriented analytical products and services for clients. The role emphasizes building predictive models, creating data visualizations, and collaborating with engineers, data scientists, program leaders, and external stakeholders to solve complex problems.
Scraped 5/12/2026