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Behavioral Data Scientist Jobs in Minnesota (NOW HIRING)

Conch Technologies

Data Scientist

Minneapolis, MN · On-site

Data Scientist LOCATION: Hybrid Minneapolis, MN REMOTE in following states: AR, AZ, DE, FL, GA, IA ... Ability to communicate technical concepts, analytical findings, system behavior, and model ...

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

Hybrid onsite Tuesday Wednesday and Thursday Data Scientist / Machine Learning Engineer Position ... You?ll identify meaningful patterns, emerging signals, and behavioral shifts that inform enterprise ...

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+ ...

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 ...

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Behavioral Data Scientist information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do behavioral data scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for behavioral data scientist in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a behavioral data scientist do?

A Behavioral Data Scientist analyzes human behavior using data-driven methods, combining psychology, data science, and machine learning. They work with behavioral data from sources like user interactions, surveys, and experiments to identify patterns and make predictions. Their insights help businesses optimize decision-making, improve user experiences, and influence behavior. They often collaborate with product teams, marketers, and researchers to drive data-informed strategies.

What are some typical projects or tasks a behavioral data scientist might work on?

As a Behavioral Data Scientist, you may analyze user engagement patterns, design and evaluate A/B tests, and build predictive models to better understand customer behavior across digital platforms. You could collaborate closely with product managers, UX researchers, and marketing teams to interpret data and recommend strategies that improve user experiences. Projects often involve sifting through large datasets, contextualizing findings with behavioral theory, and presenting actionable insights to stakeholders. This role offers a dynamic mix of technical analysis and creative problem-solving, with opportunities to have a direct impact on business strategy and product development.

What are the key skills and qualifications needed to thrive as a behavioral data scientist, and why are they important?

To thrive as a Behavioral Data Scientist, you need a solid background in statistics, behavioral science, data analysis, and machine learning, typically supported by an advanced degree in a quantitative field. Expertise with programming languages such as Python or R, familiarity with data visualization tools, and experience using behavioral analytics platforms are highly valued, with certifications in data science being a plus. Strong communication skills, curiosity, and an ability to translate complex findings for non-technical audiences set top candidates apart. These skills ensure you can extract actionable insights from behavioral data, drive data-informed decisions, and collaborate effectively with multidisciplinary teams.

What are the most commonly searched types of Behavioral Data Scientist jobs in Minnesota?

The most popular types of Behavioral Data Scientist jobs in Minnesota are:

What are popular job titles related to Behavioral Data Scientist jobs in Minnesota?

For Behavioral Data Scientist jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Behavioral Data Scientist jobs in Minnesota look for?

The top searched job categories for Behavioral Data Scientist jobs in Minnesota are:

What cities in Minnesota are hiring for Behavioral Data Scientist jobs?

Cities in Minnesota with the most Behavioral Data Scientist job openings:

Behavioral Data Scientist jobs near you
Infographic showing various Behavioral Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Data Scientist

Minneapolis, MN • On-site

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

Other

This job post has expired 3 days ago. Applications are no longer accepted.

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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