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Remote Behavioral Data Science Jobs (NOW HIRING)

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... making complex model behaviour accessible to business audiences * Drive continuous model ...

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 8+ years of experience in data science , with at least 3 years in leadership ...

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional ... Analyze and fine-tune search relevance based on user behavior and search intent from querylog.

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How much do remote behavioral data science jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote behavioral data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Behavioral Data Scientist, and why are they important?

To thrive as a Remote Behavioral Data Scientist, you need expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.
More about Remote Behavioral Data Science jobs
What cities are hiring for Remote Behavioral Data Science jobs? Cities with the most Remote Behavioral Data Science job openings:
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What states have the most Remote Behavioral Data Science jobs? States with the most job openings for Remote Behavioral Data Science jobs include:
Head of Measurement Science and Innovation

Head of Measurement Science and Innovation

NielsenIQ

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


NielsenIQ rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 425 rated business services


Job description

Company Description
R26_000918
MRI-Simmons is the leading provider of actionable insights on the consumer. We are an established organization, with a great brand, that is aggressively reinventing itself through investments in technology and people! We are seeking an experienced, Head of Measurement Science and Innovation leader to spearhead the evolution of our industry-leading data assets.
MRI-Simmons measures consumer preferences, attitudes, and behaviors. We do this by collecting data through surveys and passively measured data in a way that is representative of the general population, applying data science and making sense of consumer data through enterprise-grade software. Marketers and media companies then use MRI-Simmons data and technology to develop marketing strategies, consumer segmentation schemes and media activation approaches. The MRI-Simmons Insights Product is a consumer intelligence and discovery platform that provides marketers with faster access to actionable consumer insights.
Remote role based in the US. Candidates must be physically located within the US.
Job Description
As the Head of Measurement Science and Innovation, you will be the primary architect of modernizing our foundational survey-based datasets while maintaining the historical continuity and research quality our clients depend on.
This is a high-impact, executive-level role that sits at the intersection of traditional research rigor and modern data science. You will lead a team of highly skilled scientists and researchers, with the goal of bridging the gap between legacy measures and a future-focused, integrated analytic ecosystem.
The ideal candidate combines deep technical and methodological expertise with exceptional communication skills, credibility with senior audiences, and a collaborative leadership style that builds trust and buy-in across disciplines.
Responsibilities:
Strategic Leadership & Vision
  • Modernize Legacy Assets: Lead the strategic evolution of legacy-based datasets; balancing historical continuity with the need for modernized methodologies and market positioning.
  • Define Evolutionary Pathing: Establish clear roadmaps for recalibrating or re-architecting legacy methodologies while rigorously protecting client trust, trendability, and long-term credibility.
  • Integrate Data Ecosystems: Champion a vision where legacy data serves as a foundational component within a broader, integrated analytic ecosystem that includes census-level and behavioral data.
  • Strategic Decision Leadership: Serve as senior arbiter in resolving tensions between protecting historical benchmarks and pursuing methodological innovations.

Scientific Rigor & Innovation
  • Data Fusions & Integrations: Direct complex data integration projects that combine traditional survey data with first-party datasets, census-level data, and large-scale behavioral inputs.
  • Methodological Authority: Act as the organization's primary authority on research rigor, overseeing standards for sampling, weighting, data linkage, and reproducibility.
  • Reconcile Complex Datasets: Develop robust frameworks to reconcile discrepancies in coverage, granularity, and timing between consumer surveys and large-scale administrative data.
  • Enforce Quality Standards: Establish and oversee best-in-class research protocols to ensure all analytic approaches are transparent, defensible, and appropriate for high-stakes decision making.

Product, Market and Business Alignment
  • Strategic Repositioning: Partner with product and commercial leaders to clarify the unique value of legacy datasets and identify where complementary data sources are required to meet client needs.
  • Commercial Methodology Alignment: Collaborate with senior stakeholders to ensure analytic strategies and methodological updates directly support core business objectives and market demands.
  • Change Management Frameworks: Establish communication protocols for methodological shifts, ensuring stakeholders understand the impact of updates on trends and benchmarks.

Client Advisory, Communication, and Thought Leadership
  • Trusted Technical Advisor: Act as senior consultant to internal teams and clients, translating complex statistical concepts into compelling narratives that inform strategy and forecasting.
  • Modernize Measurement Strategy: Advise clients on transitioning from reliance on legacy measures to adopting modern, integrated approaches to media measurement and research design.
  • Industry Influence: Serve as a thought leader on emerging challenges in data science and measurement.

Talent Development
  • Cultivate Expertise: Mentor and develop senior researchers and data scientists, fostering a culture of scientific rigor, curiosity, and continuous learning.

#LI-Hybrid #LI-SG5
Qualifications
  • 12+ years of experience in Data Science, Measurement Science, or Research Methods, with at least 5 years in a senior leadership position.
  • Proven track record of evolving legacy, survey-based products into modern integrated data assets without losing historic trendability or sacrificing data quality.
  • Direct expertise in:
    • Survey sampling design, weighting, and inference
    • Data fusion, record linkage, and multi-source data integration
    • Working with census-level and large-scale population datasets
  • Deep mastery of statistical methodologies, including sampling, weighting, and reconciliation of disparate data sources.
  • Ability to explain complex methodological concepts clearly to non-technical audiences, including clients, stakeholders, and executives.
  • Experience navigating the organizational and commercial tensions of modernizing "gold standard" legacy measures.
  • Advanced degree in quantitative field such as Statistics, Data Science, Economics, Social Sciences, or a related discipline.
  • Demonstrated success influencing stakeholders and gaining buy-in on methodological decisions in ambiguous or high-pressure environments.

Additional Information
This role has a market-competitive salary with an anticipated base compensation of the following range: $174,600 - $250,000. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more.
US Benefits
  • Comprehensive healthcare plan (medical, Rx, dental and vision).
  • Flexible spending accounts and Health Savings Account (including company contributions).
  • Life and AD&D insurance.
  • 401(k) retirement plan including company matching contributions.
  • Disability insurance.
  • Tuition Reimbursement.
  • Discretionary paid time off program and 11 paid holidays.

Our Benefits
  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
About NIQ
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

NielsenIQ logo

About NielsenIQ

Sourced by ZipRecruiter

NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world's population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what's possible. How? We combine unparalleled datasets, pioneering technology, and the industry's top talent to create insights that unlock innovation. Join us and change the landscape.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1923

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