Senior Data Scientist (Market Research Analytics) - Remote, US-based only

Who We Are

Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver—for each other and our clients—to make the world work better for people.

Why Escalent? Once you join our team you will have the opportunity to...

• Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more.
• Gain exposure to a rich variety of research techniques from knowledgeable professionals.
• Enjoy a remote first/hybrid work environment with a flexible schedule.
• Obtain insights into the needs and challenges of your clients—to learn how the world’s leading brands use research.
• Experience peace of mind working for a company with a commitment to conducting research ethically.
• Build lasting relationships with fun colleagues in a culture that values each person.

Role Overview
We are seeking a Senior Data Scientist to play a key role in delivering advanced analytics across client engagements within our Advanced Analytics team. This role is responsible for leading complex analytical workstreams, applying robust statistical methodologies, and contributing to high-quality, actionable insights.

You will partner closely with analytics, research, and client teams to translate business questions into analytical approaches and deliver outputs that inform decision-making. This is an ideal opportunity for an experienced data scientist looking to expand their ownership of projects while continuing to deepen technical expertise in market research methodologies.

The Salary Range for this position is $100,000 - $115,000. If this is not the right level for you, please check out our other postings. If this is not the right level for you, please check out our other postings. For this remote position, must be based in the United States.

What You’ll Do:

Lead Advanced Quantitative Analysis

• 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

Drive Analytical Workstreams on Client Engagements

• 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

Work with Complex Market Research Data

• 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

Collaborate Across Teams

• 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

Contribute to Best Practices and Team Growth

• 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 and Advance Synthetic Data Capabilities

• 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

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
• Demonstrated experience with:
  • Regression and multivariate analysis
  • Segmentation techniques (e.g., clustering)
  • Choice modeling / conjoint analysis
  • 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

Preferred 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
• Have experience or exposure to algorithms capable of generating synthetic data

Compensation, Benefits, and Culture

• 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
• Salary range for this role is $100,000 - $115,000

Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.