Senior Applied Measurement & Data Scientist
Pittsburgh, United States
USD 110K-165K (estimate) Senior-level Full Time
Tasks
- Apply causal inference concepts
- Apply statistical modeling and machine learning
- Build analytic software tools
- Build and integrate analytic tools
- Build robust data pipelines
- Contribute to research papers and technical writing
- Coordinate interdisciplinary contributors
- Create automated AI ML workflows
- Design AI ML enabled analytical approaches
- Develop R Python dashboards
- Ensure data pipeline reliability
- Ensure high quality technical outcomes
- Ensure reproducibility and trustworthy measurement
- Explore generative AI tools
- Guide customers interpreting results
- Lead analytic projects
- Manage analytic timelines
- Operate analytic systems securely
- Present findings to conferences and customers
- Refine analytic workflows with domain experts
- Scope measurement work
- Use infrastructure tooling for analytics
Perks/Benefits
- Accidental Death Disability Insurance
- Childcare support
- Comprehensive health insurance
- Dental insurance
- Fitness center access
- Holidays
- Life insurance
- Paid time off
- Retirement savings program
- Transit bus pass
- Tuition benefits
- Vision insurance
Skills/Tech-stack
Causal Inference | Containerization | Dash | Data Pipelines | Data Science | Engineering lifecycle | Generative AI | Graph Databases | Infrastructure as Code | Language Models | Linux | Machine Learning | Ollama | OpenWebUI | Python | R | R Shiny | Relational databases | Small Language Models | Software Engineering | Software engineering lifecycle | Statistical modeling | Unix | “as-code”
Education
Regions
Countries
States
Cities
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