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Behavioral Data Science Jobs (NOW HIRING)

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

$160K - $190K/yr

... behavior, personalize marketing, and help dealerships increase sales and service revenue. Join us in applying data science, machine learning, and AI to real‑world business problems at scale. #J ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

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 ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... behavioral data) * Strong data wrangling and exploratory data analysis (EDA) skills * Experience ...

Showing results 21-40

behavioral data science information

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$24K

$107.4K

$200K

How much do behavioral data science jobs pay per year?

As of Sep 10, 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 behavioral data science?

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 are the key skills and qualifications needed to thrive in behavioral data science, 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.

Is behavioral data science in high demand?

Behavioral data science is in high demand across industries such as marketing, finance, and technology due to its focus on understanding human behavior through data analysis and machine learning. Professionals with skills in statistical modeling, programming, and behavioral psychology are sought after as organizations leverage data-driven insights to improve decision-making and user experience.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.
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:

Infographic showing various Behavioral Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $107,376 per year, or $51.6 per hour.

Senior Data Scientist - Machine Learning & AI

Virginia, IL • On-site

Team Velocity Marketing
Internet and IT • 201 - 500 employees

$160K - $190K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Key responsibilities

  • Design, build, evaluate, and deploy production machine learning models.

  • Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution.

  • Deploy and monitor ML models, including model performance, drift detection, and retraining.


Job description

Senior Data Scientist – Machine Learning & AI

Senior Data Scientist – Machine Learning & AI
Remote | Full-Time | $160,000–$190,000

Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence.

This is a hands‑on role for an experienced data scientist who can take models from data exploration and development through production deployment, monitoring, and optimization. You will partner with Product, Data Engineering, Software Engineering, Analytics, and business leadership to deliver measurable business impact.

This is a full‑time remote position. Candidates must reside in the Continental U.S. and be able to support an 8:30 AM–5:30 PM ET business hours. Eastern and Central Time Zones highly preferred.

KEY RESPONSIBILITIES
  • Design, build, evaluate, and deploy production machine learning models.
  • Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, A/B testing, causal inference, and time-series analysis.
  • Build feature engineering, model training, and inference pipelines.
  • Deploy and monitor ML models, including model performance, drift detection, and retraining.
  • Apply Generative AI, LLMs, RAG, and vector databases to business and customer applications.
  • Partner with Product, Engineering, Analytics, and leadership to translate business problems into scalable data science solutions.
  • Mentor junior data scientists and establish best practices for model development, documentation, and code quality.
REQUIREMENTS
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred.
  • 5+ years | Python + SQL | production ML | predictive modeling | model deployment | MLOps | cloud | measurable business impact
  • Proven ability to deliver measurable business impact through data science and machine learning.
  • Strong communication, analytical, and business problem‑solving skills.
  • Expert Python and SQL skills.
TECHNICAL EXPERIENCE
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, causal inference, time series
  • Data & Cloud: Snowflake, dbt, Spark, Airflow, GCP preferred; AWS or Azure considered
  • AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
  • Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus.

*You do not need experience with every technology listed above. Strong production machine learning experience is the priority.

Preferred Experience
  • Large‑scale customer or behavioral data
  • Marketing analytics, personalization, or customer intelligence
  • SaaS, automotive, retail, advertising, or marketing technology
  • Real‑time inference or streaming data
  • Production Generative AI applications
COMPENSATION & BENEFITS

The expected salary range is $160,000–$190,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more.

About Team Velocity

Team Velocity is a full‑service marketing and technology company serving automotive manufacturers and dealerships nationwide. Our proprietary Apollo® technology platform uses data, predictive analytics, and AI to predict consumer behavior, personalize marketing, and help dealerships increase sales and service revenue.

Join us in applying data science, machine learning, and AI to real‑world business problems at scale.

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