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Behavioral Data Science Jobs in Baltimore, MD (NOW HIRING)

GRVTY

Data Scientist 3

Annapolis, MD · On-site

$155K - $185K/yr

... science disciplines with a substantial computational component (i.e. behavioral, social, or life ... Data Processing: (Data management and curation, data description and visualization, workflow and ...

GRVTY

Data Scientist 3

Annapolis Junction, MD

$155K - $185K/yr

... science disciplines with a substantial computational component (i.e. behavioral, social, or life ... Data Processing: (Data management and curation, data description and visualization, workflow and ...

Sentar, Inc.

Data Scientist 2

Fort George G Meade, MD · On-site

Sentar is seeking a Data Scientist 2! Role Description: Were in search of a Data Scientist with a ... science disciplines with a substantial computational component (i.e. behavioral, social, or life ...

Sentar

Data Scientist 2

Fort George G Meade, MD · On-site

Sentar is seeking a Data Scientist 2! Role Description: We're in search of a Data Scientist with a ... science disciplines with a substantial computational component (i.e. behavioral, social, or life ...

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All JobsBehavioral Data Science JobsBehavioral Data Science Jobs in Baltimore, MD

Behavioral Data Science information

See Baltimore, MD salary details

$24.1K

$107.9K

$201.1K

How much do behavioral data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for behavioral data science in Baltimore, MD is $107,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,823.00 and $146,766.00 per year, depending on experience, location, and employer.

What can I do with a behavioral data science degree?

A behavioral data science degree prepares individuals for roles such as data analyst, behavioral scientist, or user experience researcher, focusing on analyzing human behavior through data. Graduates often work with statistical tools, programming languages like Python or R, and data visualization software to inform decision-making in marketing, product development, or healthcare. These roles typically require strong analytical skills and understanding of psychological or social science principles.

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.

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.

Is behavioral data science in high demand?

Behavioral data science is in high demand as organizations seek to understand human behavior through data analysis, machine learning, and statistical modeling. Professionals with skills in programming, data visualization, and behavioral psychology are especially sought after across industries such as marketing, healthcare, and finance.

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.

What are the most commonly searched types of Behavioral Data Science jobs in Baltimore, MD? The most popular types of Behavioral Data Science jobs in Baltimore, MD are:
What are popular job titles related to Behavioral Data Science jobs in Baltimore, MD? For Behavioral Data Science jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Science jobs in Baltimore, MD look for? The top searched job categories for Behavioral Data Science jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Behavioral Data Science jobs? Cities near Baltimore, MD with the most Behavioral Data Science job openings:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in Baltimore, MD as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution, with an average salary of $107,940 per year, or $51.9 per hour.

Data Scientist 2 with Security Clearance

GRVTY

Annapolis, MD • On-site

Other

Re-posted 7 days ago

Job description

What Impact You'll Have * We are actively searching for Data Scientists, located in Maryland, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education. * The ideal candidate should possess expertise in AI/ML, proficiency in Python, and hands-on experience with deep learning frameworks such as PyTorch and TensorFlow, with an added advantage if they have cyber knowledge. This role combines artificial intelligence and machine learning skills with a strong foundation in programming and cybersecurity. What You'll be Owning * Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. * Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. * Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. * Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations. What You Must Have * Bachelor's Degree with 3 years of relevant experience or an Associates degree with 5 years of relevant experience * Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. * Active TS/SCI with a polygraph #LI-SM1

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