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Behavioral Data Science Jobs (NOW HIRING)

Loaded, LLC

Sr. Data Scientist

Santa Monica, CA · On-site +1

$110K - $130K/yr

... behavioral datasets and scalable insights To qualify, you have... * 3+ years of experience in data science, machine learning, or advanced analytics roles * Strong experience working with large ...

Loaded, LLC

Sr. Data Scientist

Santa Monica, CA · Remote

$110K - $130K/yr

... behavioral datasets and scalable insights To qualify, you have... * 3+ years of experience in data science, machine learning, or advanced analytics roles * Strong experience working with large ...

Loaded, LLC

Sr. Data Scientist

Santa Monica, CA · On-site

... behavioral datasets and scalable insights To qualify, you have... * 3+ years of experience in data science, machine learning, or advanced analytics roles * Strong experience working with large ...

AllyNd Partners

Sr. Data Scientist

Manhattan, NY · Remote

Their platform uses alternative signals like purchase behavior, mobile activity, and financial ... their data science team. Were seeking a Senior Data Scientist who thrives in high-autonomy ...

Phia

Senior Data Scientist

Manhattan, NY · On-site

You will partner closely with Product and Engineering to translate user behavior into scalable ... Qualifications * 3+ years of experience in data science or applied ML within consumer tech, ideally ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Are you interested in ... Behavioral & Journey Analytics: Analyze longitudinal behavior patterns to identify drivers ...

PROPRIUS

Director Data Science

San Francisco, CA

The head of this new Data Science division will be expected to solve classic e-commerce problems; targeted advertising and marketing, recommendation systems, behavioral analytics and customer ...

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How much do behavioral data science jobs pay per year?

As of Jun 4, 2026, the average yearly pay for behavioral data science in the United States is $107,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a Behavioral Data Science job?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

What types of projects or problems do Behavioral Data Scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.
More about Behavioral Data Science jobs
What cities are hiring for Behavioral Data Science jobs? Cities with the most Behavioral Data Science job openings:
What are the most commonly searched types of Behavioral Data Science jobs? The most popular types of Behavioral Data Science jobs are:
What states have the most Behavioral Data Science jobs? States with the most job openings for Behavioral Data Science jobs include:
What job categories do people searching Behavioral Data Science jobs look for? The top searched job categories for Behavioral Data Science jobs are:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $107,376 per year, or $51.6 per hour.
Sr. Data Scientist - Behavioral & Statistical Analytics

Sr. Data Scientist - Behavioral & Statistical Analytics

Internet Brands

El Segundo, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Internet Brands rating

8.7

Company rating: 8.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

38th of 185 rated software companies

Job description

Description
Sr. Data Scientist - Behavioral & Statistical Analytics
Role Summary: The Sr. Data Scientist - Behavioral & Statistical Analytics plays a critical role in building the analytical foundation for Internet Brands' personalization and AI-driven products. This role focuses on deep analysis of user behavior to uncover meaningful patterns, triggers, and signals that inform personalized experiences and adaptive learning pathways across our platforms. You will work at the intersection of data science, product, ontology, and machine learning to translate behavioral data into statistically grounded insights that directly shape personalization logic, signal prioritization, and model inputs. This role emphasizes rigorous statistical reasoning, longitudinal thinking, and user-centric analysis rather than pure model development.
Key Responsibilities:
Behavioral & Cohort Analysis
  • Perform cohort, behavioral, and longitudinal analyses to understand user journeys, engagement evolution, and retention dynamics over time.
  • Analyze user interactions across products to identify behavioral sequences, inflection points, and drop-off patterns.
  • Segment users based on behavioral traits, learning states, intent signals, and engagement profiles.

Signal Discovery & Evaluation
  • Identify high-value behavioral signals that correlate with engagement, learning outcomes, conversion, or long-term value.
  • Detect engagement drivers, friction points, and learning gaps that inform personalization opportunities.
  • Evaluate signal stability, predictive strength, and interpretability across different user populations and time horizons.

Statistical Rigor & Evidence
  • Apply statistical methods (e.g., hypothesis testing, regression, survival analysis, causal inference, experimentation analysis) to support signal prioritization and product decisions.
  • Quantify confidence, uncertainty, and effect sizes to guide downstream ML and product logic.
  • Partner with experimentation teams to analyze A/B tests and incremental impact of personalization features.

Cross-Functional Collaboration
  • Collaborate closely with Ontology, Product Management, and Machine Learning teams to define user-centric personalization logic grounded in behavioral evidence.
  • Translate analytical findings into clear, actionable insights for technical and non-technical stakeholders.
  • Help define behavioral metrics, taxonomies, and signal definitions that scale across products and domains.

Data Foundations & Enablement
  • Partner with data engineering to ensure behavioral data is well-instrumented, reliable, and analysis-ready.
  • Contribute to documentation and shared understanding of behavioral signals, metrics, and analytical frameworks.
  • Support the broader Personalization team by providing analytical guidance and reusable methodologies.

Experience & Qualifications:
Required:
  • Bachelor's or Master's degree in Statistics, Data Science, Economics, Psychology, Applied Mathematics, or a related quantitative field.
  • 5+ years of experience in a data science, behavioral analytics, or applied statistics role.
  • Web analytics experience (Google analytics, Adobe analytics)
  • Strong foundation in statistical analysis and experimental design.
  • Experience performing cohort, funnel, and longitudinal analyses on large-scale user data.
  • Proficiency in SQL and at least one analytical programming language (Python or R).
  • Ability to communicate complex analytical concepts clearly to cross-functional partners.

Preferred:
  • Experience working on personalization, recommender systems, learning systems, or behavioral modeling.
  • Familiarity with causal inference techniques and observational data challenges.
  • Experience partnering with ML teams to inform feature engineering or model inputs.
  • Background in consumer internet, marketplaces, SaaS, or content-driven platforms.
  • Exposure to ontology, taxonomy, or structured knowledge systems is a plus.

Why Join Internet Brands:
  • Be part of a newly formed Personalization team with high visibility and impact.
  • Shape how AI-driven personalization is built across a diverse portfolio of products.
  • Work on real-world, high-scale user behavior data with meaningful business outcomes.
  • Collaborate with strong product, ML, and data partners in a growing AI organization.

About Internet Brands:
At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to range from the low to high $100s. We encourage all interested candidates to apply.
In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short-term and long-term disability insurance, and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process.
Internet Brands®, headquartered in El Segundo, Calif, is a fully integrated online media and software services company focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's properties and platforms include the WebMD, Medscape, and Henry Schein ONE networks, which are the global leaders in their markets; Nolo, Avvo, and Martindale, which form the largest consumer information provider in the legal market; and CarsDirect, Fodor's Travel, and many others which are leaders in their key vertical markets. Internet Brands' award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. The company's powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus.
Internet Brands is an equal opportunity employer, and we welcome applicants from all backgrounds. We comply with all applicable laws and regulations, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).
Notice to California residents: you can find information about our privacy practices, on: https://www.internetbrands.com/work-with-us/cpra

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