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Behavioral Data Science Jobs in Minneapolis, MN (NOW HIRING)

Conch Technologies

Data Scientist

Minneapolis, MN · On-site

Data Science / Machine Learning Project-level containerized stacks managed through Nexus Coco+ and ... Ability to communicate technical concepts, analytical findings, system behavior, and model ...

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

... emerging signals, and behavioral shifts that inform enterprise decisions and improve operational processes. This role also plays an important part in moving data science solutions from ...

New

MISO Default Brand

Senior Data Scientist

Eagan, MN · On-site

$119 - $144/hr

... market trends, behaviors, and potential issues. * Build automated alerts, dashboards, and ... Lead end-to-end data science projects -- from defining the problem and project scope through ...

New

Target

Lead UX Researcher, AI Enablement

Minneapolis, MN

$132K - $238K/yr

You will partner with UX, Product, Technology, Data Science, and business teams to connect human-centered insights with behavioral and operational data. You will influence portfolio decisions, mentor ...

BWH Hotels

Senior Data Scientist

Minneapolis, MN · On-site

$105 - $155/hr

... behavior prediction, personalization/recommendation, anomaly detection) and bring proposals forward ... Bachelor's degree in data science, computer science, computer engineering, or related field AND 5+ ...

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Behavioral Data Science information

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$24.2K

$108.3K

$201.7K

How much do behavioral data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for behavioral data science in Minneapolis, MN is $108,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,026.00 and $147,250.00 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.

What are the most commonly searched types of Behavioral Data Science jobs in Minneapolis, MN?

The most popular types of Behavioral Data Science jobs in Minneapolis, MN are:

What are popular job titles related to Behavioral Data Science jobs in Minneapolis, MN?

For Behavioral Data Science jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Behavioral Data Science jobs in Minneapolis, MN look for?

The top searched job categories for Behavioral Data Science jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Behavioral Data Science jobs?

Cities near Minneapolis, MN with the most Behavioral Data Science job openings:

Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $108,296 per year, or $52.1 per hour.

Data Scientist

Minneapolis, MN • On-site

Conch Technologies
IT Services • 51 - 200 employees
Learn more about Conch Technologiesexternal

Other

Posted 4 days ago

Job description

Hi  
Greetings from Conch Technologies Inc
Position:  Data Scientist
LOCATION: Hybrid Minneapolis, MN 
REMOTE in following states: AR, AZ, DE, FL, GA, IA, IL, KS, KY, MD, ME, MI, MN, MO, ND, NE, OK, SD, TN, TX, VA, WI
DURATION: 6+ Months Contract
 
Technical Skills Required:
Data Science / Machine Learning
Project-level containerized stacks managed through Nexus
Coco+ and VSCode as primary IDE/tooling environments
Snowflake
Azure
ChatGPT
A proprietary DataScience CLI providing tooling, libraries, and access management
Standard libraries packaged through the DataScience CLI and Nexus
Required qualifications
Bachelor’s degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
3+ years of professional experience beyond degree in data science, machine learning, advanced analytics, statistical modeling, or a related technical discipline.
Experience developing machine learning or statistical solutions for complex, real-world business problems.
Experience with techniques applicable to anomaly detection, pattern recognition, classification, clustering, time-series analysis, or predictive modeling.
Proficiency in at least one programming language commonly used for data science and machine learning, such as Python, R, or SAS.
Strong SQL skills and experience working with large relational or analytical data platforms.
Experience using source control and collaborative software development practices.
Experience developing reusable, maintainable analytical code rather than exclusively notebook-based or ad hoc analyses.
Ability to communicate technical concepts, analytical findings, system behavior, and model limitations to both technical and non-technical stakeholders.
 
Thanks & Regards,
 
Nayak Teketi | US IT Recruiter
 | 901-317-3453
Conch Technologies, Inc | 

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