Senior Data Scientist (Market Research Analytics) - Remote, US-based only
$100,000–$115,000 year
Remote · United States
Job Summary
Senior Data Scientist (Market Research Analytics) leads advanced quantitative workstreams and designs robust statistical models (regression, multivariate, segmentation, and conjoint analysis) for client engagements in market research. You will translate business questions into analytical approaches, partner with research and client teams, and deliver clear, actionable insights. The role emphasizes developing scalable workflows, applying synthetic data capabilities to support research design, and contributing to best practices in coding, documentation, and reproducibility while mentoring junior team members. The position requires delivering analytical outputs that inform decision-making, preparing datasets for analysis, validating data quality, and communicating complex findings to non-technical audiences. The role is remote-first with a US-based footprint and includes collaboration across a virtual team, knowledge sharing, and continuous improvement initiatives.
Required Qualifications
- 4–8 years of experience in data science, applied statistics, or market research analytics
- Strong proficiency in R or Python for data analysis and modeling
- Regression and multivariate analysis
- Segmentation techniques (e.g., clustering)
- Conjoint analysis / choice modeling
- Experience working with survey, panel, or behavioral datasets
- Strong problem-solving skills and attention to detail
- Ability to clearly communicate analytical findings to non-technical audiences
Desired Qualifications
- Experience in market research, consulting, or client-facing analytics environments
- Familiarity with experimental design or causal inference methodologies
- Experience contributing to multi-phase or complex client engagements
- Experience contributing to synthetic data capabilities in analytics workflows
- Experience with synthetic data generation and data augmentation techniques
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