[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.ResponsibilitiesDesign and execute statistical models, including: Regression and multivariate analysis, Segmentation and clustering techniques, Choice modeling and conjoint analysisLead model estimation, validation, and interpretation for assigned workstreamsEnsure analytical approaches are rigorous, scalable, and aligned to study objectivesTranslate business and research questions into structured analytical approachesLead key components of analysis within client projects, partnering with senior team members on overall strategyContribute to development of insights that are clear, actionable, and aligned to client needsPrepare, transform, and validate survey and panel datasetsApply data quality checks, weighting, and standard processing techniquesDevelop efficient workflows to support repeatable and scalable analysisPartner with research and client teams to align on study objectives and outputsTranslate analytical findings into clear summaries for internal and client-facing useSupport development of deliverables and presentations that communicate insights effectivelyFollow and help reinforce standards for coding, documentation, and reproducibilityParticipate in knowledge sharing and continuous improvement effortsProvide informal guidance to junior team members as appropriateApply synthetic data techniques to support research design, modeling, and data augmentationEnsure appropriate use of synthetic datasets while maintaining analytical integrity and validityContribute to expanding team capabilities and best practices in synthetic data applicationsSkills4–8 years of experience in data science, applied statistics, or market research analyticsStrong proficiency in R or Python for data analysis and modelingDemonstrated experience with: Regression and multivariate analysisDemonstrated experience with: Segmentation techniques (e.g., clustering)Demonstrated experience with: Choice modeling / conjoint analysisDemonstrated experience with: Application of synthetic data in analytics workflows or research contextsExperience working with survey, panel, or behavioral datasetsStrong problem-solving skills and attention to detailAbility to clearly communicate analytical findings to non-technical audiencesExperience in market research, consulting, or client-facing analytics environmentsFamiliarity with experimental design or causal inference methodologiesExperience contributing to multi-phase or complex client engagementsHave experience or exposure to algorithms capable of generating synthetic dataBenefitsMedical, Dental, and Vision Insurance - Large carriers on a national level (domestic partner coverage included)401k with Company MatchFlexible PTO - Feel no guilt in taking off a minimum of 3 weeks of “real” vacation timePaid Parental leave: 8 weeksPaid Sick Leave: up to 8 weeks12 Paid Company HolidaysHybrid/Virtual Work - Virtual-first workforce with employees in most statesCompany OverviewEscalent operates as a human behavior and analytics firm. It was founded in 1989, and is headquartered in Livonia, Michigan, USA, with a workforce of 1001-5000 employees. Its website is https://escalent.co/.