[Remote] Senior Data Scientist (Market Research Analytics) - Remote, US-based only
Note: The job is a remote job and is open to candidates in USA. Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. They are seeking a Senior Data Scientist to deliver advanced analytics across client engagements, leading complex analytical workstreams and applying robust statistical methodologies to provide actionable insights.
Responsibilities
- Design and execute statistical models, including: Regression and multivariate analysis, Segmentation and clustering techniques, Choice modeling and conjoint analysis
- Lead model estimation, validation, and interpretation for assigned workstreams
- Ensure analytical approaches are rigorous, scalable, and aligned to study objectives
- Translate business and research questions into structured analytical approaches
- Lead key components of analysis within client projects, partnering with senior team members on overall strategy
- Contribute to development of insights that are clear, actionable, and aligned to client needs
- Prepare, transform, and validate survey and panel datasets
- Apply data quality checks, weighting, and standard processing techniques
- Develop efficient workflows to support repeatable and scalable analysis
- Partner with research and client teams to align on study objectives and outputs
- Translate analytical findings into clear summaries for internal and client-facing use
- Support development of deliverables and presentations that communicate insights effectively
- Follow and help reinforce standards for coding, documentation, and reproducibility
- Participate in knowledge sharing and continuous improvement efforts
- Provide informal guidance to junior team members as appropriate
- Apply synthetic data techniques to support research design, modeling, and data augmentation
- Ensure appropriate use of synthetic datasets while maintaining analytical integrity and validity
- Contribute to expanding team capabilities and best practices in synthetic data applications
Skills
- 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
- Demonstrated experience with: Regression and multivariate analysis
- Demonstrated experience with: Segmentation techniques (e.g., clustering)
- Demonstrated experience with: Choice modeling / conjoint analysis
- Demonstrated experience with: Application of synthetic data in analytics workflows or research contexts
- 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
- 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
- Have experience or exposure to algorithms capable of generating synthetic data
Benefits
- Medical, Dental, and Vision Insurance - Large carriers on a national level (domestic partner coverage included)
- 401k with Company Match
- Flexible PTO - Feel no guilt in taking off a minimum of 3 weeks of “real” vacation time
- Paid Parental leave: 8 weeks
- Paid Sick Leave: up to 8 weeks
- 12 Paid Company Holidays
- Hybrid/Virtual Work - Virtual-first workforce with employees in most states
Company Overview