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Full Time Behavioral Data Scientist Jobs (NOW HIRING)

Data Scientist

$135K - $145K/yr

TL;DR Fast-growing ad-measurement company looking for an individual to work with our data science ... Support client management teams with data-driven insights based on millions of behavioral data ...

Establish trust and confidence as the data scientist, up, across, and down the organization ... Exposure to web behavioral data and customer lifecycle modeling (churn, propensity, LTV) Additional ...

... behavior of the systems - Respond quickly and accurately to ad hoc data requests for internal and ... full-time experience in a responsible supervisory, administrative or research capacity in the ...

... behavior of the systems - Respond quickly and accurately to ad hoc data requests for internal and ... full-time experience in a responsible supervisory, administrative or research capacity in the ...

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced ... pricing, and customer behavior. While this role does not require hands-on data engineering ...

Data Scientist

Manhattan, NY · On-site

$100K - $125K/yr

... behavior of the systems - Respond quickly and accurately to ad hoc data requests for internal and ... full-time experience in a responsible supervisory, administrative or research capacity in the ...

Data Scientist, Product

Foster City, CA · On-site

$180K - $250K/yr

You'll directly impact Replit's growth by turning user behavior into actionable insights that shape ... This is a full-time role that can be held from our Foster City, CA office. The role has an in ...

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 ...

Data Scientist Location: Virtual Essential Skill - Elastic Search, Generative AI Fundamentals ... Analyze and fine-tune search relevance based on user behavior and search intent from querylog.

Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the ...

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is ... behavioral, social, or life) may be considered if it included a concentration of coursework (5 or ...

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... You will translate behavioral insights and empirical findings into optimized project structures and ...

Data Scientist

San Francisco, CA · On-site

$300K - $400K/yr

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to ...

🧑🏼 💻 Data Scientist 🎨 About OpenArt OpenArt is an AI Storytelling and Visual Creation ... User and behavioral analysis: deep-dive into how users create, share, and engage on OpenArt to ...

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Full Time Behavioral Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time behavioral data scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for full time behavioral data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Full Time Behavioral Data Scientist, you need a strong background in statistics, behavioral science, and data analysis, often supported by an advanced degree in a quantitative field. Expertise in programming languages like Python or R, experience with machine learning frameworks, and familiarity with data visualization tools such as Tableau or Power BI are typically required. Strong problem-solving abilities, curiosity, and effective communication skills are crucial for interpreting behavioral data and conveying insights to stakeholders. These skills ensure that complex behavioral patterns are accurately analyzed and translated into actionable strategies, driving informed decision-making.

How do Full Time Behavioral Data Scientists typically collaborate with cross-functional teams to drive impactful insights?

Full Time Behavioral Data Scientists regularly work alongside product managers, UX researchers, engineers, and business analysts to analyze user behavior data and translate findings into actionable recommendations. Collaboration often involves participating in team meetings, sharing insights through dashboards or presentations, and advising on experiment design. The ability to communicate complex data-driven findings in a clear, accessible way is crucial for influencing product and business decisions. This cross-functional approach not only deepens understanding of user behavior but also ensures that data-backed strategies are effectively implemented.

What does a Full Time Behavioral Data Scientist do?

A Full Time Behavioral Data Scientist analyzes data related to human behavior, often using statistical models, machine learning, and data visualization techniques to uncover patterns and insights. Their work helps organizations understand how people make decisions, interact with products, or respond to various interventions. They collaborate with teams in psychology, marketing, product development, and more, to design experiments and interpret results. This role requires strong analytical skills, programming experience (often in Python or R), and an understanding of behavioral science principles.

What is the difference between Full Time Behavioral Data Scientist vs Full Time Data Analyst?

AspectFull Time Behavioral Data ScientistFull Time Data Analyst
Required CredentialsTypically requires a master's or PhD in data science, statistics, or related fieldsOften requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentFocuses on modeling human behavior, often in tech, marketing, or e-commerce companiesAnalyzes data sets to identify trends, usually in finance, healthcare, or retail sectors
Employer & Industry UsageUsed by companies aiming to understand user behavior and improve productsUtilized across industries for reporting, dashboards, and business insights

While both roles involve data analysis, a Full Time Behavioral Data Scientist specializes in modeling and understanding human behavior using advanced statistical and machine learning techniques. In contrast, a Full Time Data Analyst primarily focuses on interpreting data to generate reports and support decision-making. The roles differ mainly in complexity, focus, and required expertise, but both are essential for data-driven organizations.

More about Full Time Behavioral Data Scientist jobs
What cities are hiring for Full Time Behavioral Data Scientist jobs? Cities with the most Full Time Behavioral Data Scientist job openings:
What are the most commonly searched types of Behavioral Data Scientist jobs? The most popular types of Behavioral Data Scientist jobs are:
What states have the most Full Time Behavioral Data Scientist jobs? States with the most job openings for Full Time Behavioral Data Scientist jobs include:
Infographic showing various Full Time Behavioral Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 14% Full Time, 76% Part Time, and 9% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

$135K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 1 hour ago


Job description

TL;DR
Fast-growing ad-measurement company looking for an individual to work with our data science team to help build the AU and drive our measurement product forward.
Who we are
Adelaide is the leader in one of the fastest-growing areas of advertising: attention measurement and activation.
Since 2020, we've become the trusted media quality measurement partner for 40% of Fortune 50 brands who rely on our award-winning AU metric to plan smarter campaigns, invest in high-quality inventory, and dive stronger business outcomes. Adweek has called Adelaide's AU "the attention economy's most widely recognized metric," and AdExchanger named it "Best measurement/Analytics Capability."
Our business continues to scale rapidly, outperforming the industry with a 35% three-year CAGR. What began as a 9-person startup in 2019 is now a team of more than 75.
The past year brought meaningful expansion. We launched the AU ecosystem, giving brands, media agencies, and publishers a unified way to leverage and transact on AU. We broadened our programmatic footprint with custom bidding in GoogleDV360 and pre-bid targeting in The Trade Desk, and grew our partner roster to over 125 platforms and publishers. Leading brands like Dell, Diageo, an Jaguar Land Rover-along with premium publishers such as Hearst, Spotify, and The New York Times-continue to demonstrate AU's value across the media lifecycle.
Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki & Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb.
We have a NYC office and a London WeWork, but operates as a remote-friendly company with flexible work options.
How we work
We're a team of action-oriented doers-management rolls up their sleeves and contributes every day. Our culture is rooted in curiosity and rigor: opinions are held lightly, debated openly, and strengthened through testing. Everyone is encouraged to play a role in shaping planning and strategy.
We're built on belonging and growth-94% of employees report a strong sense of belonging, and 81% say they're happy at work.
Position overview
This position reports to the Director of Data Science; it will help to continue pushing forward the underlying models and data sets that create the AU, and work closely with product and client services team members to develop new data products and methodologies in support of all areas of the business.
In this role, you will be joining a team of other data scientists and data engineers, and work with people across the organization to shape Adelaide's data into a clear and concise story. You'll be responsible for working with hundreds of millions of data points a day, quickly iterating on optimization methods that further advertising effectiveness and fuel the world's first attention-based optimization platform. Day-to-day activities range from identifying and exploring new data sources, to training new models and iterating on existing models, to improving our codebase and pipelines.
This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office.
What you'll learn
An important part of our culture is continuous learning and the open sharing of ideas. We offer:
  • Access to a broad network of investors and advisors who can help you and your team succeed
  • Mentorship from executives with decades of experience in adtech and media
  • Regular internal knowledge-sharing sessions
  • An education budget to support ongoing professional growth and development

In this role you'll learn:
  • Gain a deep understanding of attention metrics and media quality measurement
  • Complex user interaction patterns and ML solutions to account for specialized data sets
  • Methods for processing and deriving insights from massive amounts of user experience signals
  • Best practices and collaborative product development in a fast-paced collaborative environment
Core responsibilities
  • Interpret raw data and form compelling narratives to draw meaningful insights that communicate our story and mission
  • Work with our Data Science team, as well as Product and Client Services, to shape Adelaide's data into a clear and concise story
  • Help to formulate, develop, and optimize models in production
  • Help to support and augment our machine learning system to aid advertisers in buying efficient media
  • Support client management teams with data-driven insights based on millions of behavioral data points each day
  • Work with the engineering team to build efficient and robust data pipelines
  • Help direct experimental studies aimed at understanding advertising value across multiple channels and media environments
What you'll bring
  • Python proficiency and experience with data pipelines and modeling
  • SQL for extracting data from cloud databases
  • Understanding of Classic ML algorithms: logistic regression, linear regression, RandomForests/XGBoost, clustering methods, and dimensionality reduction (e.g., PCA)
  • Ability to investigate and analyze model performance
  • Root-cause analysis skills for debugging dataset issues
  • Comfort explaining technical concepts to non-technical stakeholders
  • Bachelor's degree in a quantitative discipline or equivalent professional experience
What will set you apart
  • Experience shipping work to production
  • Cloud platform experience (AWS, GCP, Azure)
  • Familiarity with AWS environments
  • Ad-tech or marketing background
  • Experience with Looker or similar BI tools
  • Advanced degree (Master's or PhD) in a quantitative field
  • Intellectual curiosity and the ability to move fast while maintaining rigor

Benefits
Health & Wellness
  • Medical, dental, and vision insurance
  • Paid time off
  • Parental leave
  • Employee development & wellness stipend
  • Holiday break
  • Volunteer time off

Financial & Compensation
  • Competitive salary
  • Performance-based quarterly bonus
  • Stock options
  • 401(k) retirement plan

Workplace & Equipment
  • Remote-first environment
  • New York office access
  • Access to available WeWork spaces

Equal Employment Opportunity (EEO) Statement
Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.
Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.
The pay range for this role is:
135,000 - 145,000 USD per year (Remote (United States))