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Computer Science Statistics Jobs in Minnesota (NOW HIRING)

RELX

Data Scientist

Minneapolis, MN · On-site

Required : • Computer Science, Statistics, Mathematics, or related field • Experience in predictive modeling • Proficiency in SAS, R, Python, and Big Data technologies • Strong communication ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

Required : • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied data science ...

Tactile Medical

Data Scientist

Minneapolis, MN

Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations 4-7 years applied data science or machine learning ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field; advanced degree, relevant internship experience, or equivalent hands-on industry experience ...

Pearson

Lead Specialist, Data Scientist

Bloomington, MN

$165K - $205K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. * 3+ years of experience in data science, fraud analytics, security analytics, risk ...

New

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied ...

RELX

Data Scientist

Minneapolis, MN

$77K - $128K/yr

Computer Science, Statistics, Mathematics, or related field * Experience in predictive modeling. * Proficiency in SAS, R, Python, and Big Data technologies. * Strong communication skills and ability ...

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Computer Science Statistics information

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

What is a Computer Science Statistics job?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What are the key skills and qualifications needed to thrive in the Computer Science Statistics position, and why are they important?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

What are popular job titles related to Computer Science Statistics jobs in Minnesota? For Computer Science Statistics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Computer Science Statistics jobs in Minnesota look for? The top searched job categories for Computer Science Statistics jobs in Minnesota are:
What cities in Minnesota are hiring for Computer Science Statistics jobs? Cities in Minnesota with the most Computer Science Statistics job openings:
Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.
Data Scientist

Data Scientist

RELX

Minneapolis, MN • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
LexisNexis Risk Solutions is a key partner in risk assessment, offering solutions to enhance revenue and operational efficiency. The Data Scientist role involves leading predictive modeling and statistical analysis across various industries to deliver impactful insights and scalable solutions.
Responsibilities:
• Build and deploy machine learning models using R, Python, SAS, and SQL.
• Develop cloud-based analytic solutions and integrate them into enterprise systems.
• Analyze large datasets to uncover insights and support product development.
• Collaborate with stakeholders to validate scoring code and ensure model accuracy.
• Document methodologies and follow best practices in statistical modeling.
Qualifications:
Required:
• Computer Science, Statistics, Mathematics, or related field
• Experience in predictive modeling
• Proficiency in SAS, R, Python, and Big Data technologies
• Strong communication skills and ability to work cross-functionally
Preferred:
• Fraud analytics experience is a plus.
Company:
RELX is a provider of information-based analytics for professional and business customs. Founded in 1993, the company is headquartered in London, GBR, with a team of 1001-5000 employees. The company is currently Late Stage.

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