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