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Behavioral Data Science Jobs (NOW HIRING)

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

Sr. Data Scientist

Required : • 3+ years of experience in data science, machine learning, or advanced analytics roles • Strong experience working with large behavioral datasets and complex data environments • ...

New

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 ...

JetBridge

Data Scientist / AI Research Engineer

Our client is a behavioral health technology company using data science and artificial intelligence to improve mental healthcare outcomes. In this role, you will partner directly with their clinical ...

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 ...

Reddit

Principal Data Scientist, Ads

Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the ... behavioral data, foundational models for strategic insights, and the economics of marketplace ...

Zillow

Manager, Data Science

About the team As a Manager of Data Science within Rentals Analytics, you'll lead a team at the ... Drive deep-dive analyses of renter behavior, market dynamics, and funnel performance to identify ...

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How much do behavioral data science jobs pay per year?

As of Jun 24, 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.

Is behavioral science a good career?

Behavioral Data Science is a growing field that combines psychology, data analysis, and statistical skills to understand human behavior. It offers opportunities in research, consulting, and technology sectors, often requiring proficiency in programming tools like Python or R. The career can be rewarding for those interested in applying scientific methods to real-world problems and typically involves continuous learning and interdisciplinary collaboration.

What careers use behavioral science?

Behavioral science is used in careers such as behavioral data scientist, marketing analyst, user experience researcher, and policy advisor. These roles involve applying psychological and behavioral principles to understand and influence human behavior, often utilizing data analysis tools and research methods. Professionals in these fields work across industries like technology, healthcare, finance, and government to improve products, services, and policies.

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 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.

What is a behavioral data scientist?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They often use statistical tools, machine learning, and behavioral theories to interpret data from sources like surveys, digital interactions, or experiments, supporting organizations in understanding user actions and improving products or services.

What can you do with a behavioural science degree?

A behavioral data science degree prepares individuals for roles analyzing human behavior using data analysis, statistical tools, and programming languages like Python or R. Graduates can work as data analysts, behavioral scientists, user experience researchers, or in roles that require understanding consumer behavior and decision-making processes in various industries.

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.

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 June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,376 per year, or $51.6 per hour.

Senior Manager - Data Science

Inizio Partners

Philadelphia, PA • Hybrid

$150K - $165K/yr

Full-time

Posted 16 days ago

Job description

Role: Senior Manager Data Science

Location: Philadelphia, PA

Type: Hybrid (2-3 days / week in office)

Role Overview

We are looking for a Senior Manager – Data Science (Econometrics & Time Series) to lead advanced analytical initiatives for a major Telecommunications client.

This role is heavily focused on econometric modeling, time series analysis, and causal inference, with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate brings deep expertise in statistical modeling and is comfortable working with large-scale data environments.

Key Responsibilities

  • Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases.
  • Apply econometric techniques such as WLS, panel data models, and causal inference methods to solve real-world business problems.
  • Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making.
  • Utilize Markov chains and stochastic processes for modeling sequential or behavioral data.
  • Translate business problems into robust analytical frameworks and deliver actionable insights.
  • Work with large datasets using Databricks
  • Collaborate with stakeholders across business and technical teams to ensure model relevance and impact.
  • Mentor junior team members and drive best practices in statistical modeling and experimentation.

Must-Have Qualifications

  • Strong foundation in econometrics and time series analysis (this is critical for the role).
  • Hands-on experience with:
  • Time series models (ARIMA, SARIMA, VAR, forecasting techniques)
  • Econometric methods (WLS, regression diagnostics, panel data models)
  • Causal inference (A/B testing, quasi-experimental methods)
  • Bayesian statistics and probabilistic modeling
  • Markov chains or stochastic modeling
  • Proficiency in Python along with SQL.
  • Experience working with Databricks or similar big data platforms.
  • Ability to clearly communicate complex statistical concepts to non-technical stakeholders.

Secondary / Good-to-Have Skills (General Data Science)

  • Experience with machine learning models (classification, regression, tree-based models, etc.)
  • Familiarity with feature engineering, model validation, and performance tuning
  • Exposure to ML pipelines and MLOps concepts