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Computer Science Statistics Jobs in Minneapolis, MN

CliftonLarsonAllen

Manager of Data Science

Hudson, WI · On-site

Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data ... Science, Health Data Science), AI, or related field preferred. * Masters in a Data Science ...

LivaNova

Statistical Programmer II

Minneapolis, MN

$90K - $100K/yr

Bachelor's degree or higher in statistics, mathematics, computer science, life sciences, data science, or related field. * Relevant experience in clinical trial programming, clinical data analysis ...

My3Tech Inc

SAS Developer

Saint Paul, MN · On-site

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. * Experience: Minimum of 7 years of experience in SAS programming and data analysis, with at least 3 years in a ...

University of St Thomas

Adjunct, Statistics

Saint Paul, MN · On-site

$5.9K - $6.7K/mo

Thomas's Computer and Information Sciences department invites applications for an Adjunct Faculty member to teach one or more applied statistics courses including introduction to statistics, applied ...

Jostens

Data Scientist

Minneapolis, MN · On-site +1

Education. Undergraduate degree in Computer Science, Machine Learning, Applied Statistics, Mathematics or a relevant Engineering discipline. Preferred masters level degree in a quantitative ...

SynergisticIT

Entry-Level React Developer

Blaine, MN · On-site

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to ...

Unilever

Data Science Manager

Minneapolis, MN

About You Experience & Expertise Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar). Proven ...

New

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Possess a Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field; a Master's degree is a strong plus. * Have 8+ years of progressive ...

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All JobsComputer Science Statistics JobsComputer Science Statistics Jobs in Minneapolis, MN

Computer Science Statistics information

See Minneapolis, MN salary details

$39.1K

$128.1K

$205.1K

How much do computer science statistics jobs pay per year?

As of Jul 1, 2026, the average yearly pay for computer science statistics in Minneapolis, MN is $128,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $142,000.00 per year, depending on experience, location, and employer.

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 Minneapolis, MN? For Computer Science Statistics jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Computer Science Statistics jobs in Minneapolis, MN look for? The top searched job categories for Computer Science Statistics jobs in Minneapolis, MN are:
Computer Science Statistics jobs near you
Manager of Data Science

Manager of Data Science

CliftonLarsonAllen

Hudson, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago

Key responsibilities

  • Lead and oversee large-scale analytical and AI initiatives, including data acquisition, transformation, modeling, system development, automation, and insight generation.

  • Provide day-to-day leadership, coaching, development, and performance management for the data science team.

  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.

CliftonLarsonAllen rating

7.2

Company rating: 7.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

16th of 17 rated bookkeepers and accountants

Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.
CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
CLA is looking to hire a Data Science Director to join our growing Internal IT team.
About the role:
CLA is looking to hire a Manger of Data Science
This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.
As Manager of Data Science, you will have to following responsibilities:
Leadership
  • Provide day-to-day leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a high-performing team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight
  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.

Workflow Management
  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.

Cross-Functional Collaboration
  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.

What you will need:
8 years of relevant experience required.
  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.

Education
Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus

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Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
To view a complete list of benefits, click here.

What CliftonLarsonAllen employees say

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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