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Computer Science Statistics Jobs in Minneapolis, MN

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services. * Experience building and using AI/ML models ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services. * Experience building and using AI/ML models ...

ASIC Gen-AI Data Scientist

Minneapolis, MN · On-site +1

$119K - $286K/yr

Bachelor'swith 4+ years orMaster's degree with 2+ inElectricalEngineering, Computer Science, Data Science, Statistics, Artificial Intelligence, ora relatedfield. * Minimum 2 years of hands-on ...

New

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 ...

ASIC Gen-AI Data Scientist

Minneapolis, MN · On-site +1

$145K - $336K/yr

Bachelor'swith 10+ years orMaster's degree with 8+ inElectricalEngineering, Computer Science, Data Science, Statistics, Artificial Intelligence, ora relatedfield * Minimum 4 years of hands-on ...

New

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 ...

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 ...

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field * Strong foundation in machine learning, statistical thinking, and/or analytical problem ...

Bachelor's degree in Data science, Statistics, Economics, Computer Science, Engineering, or a related field. * 7+ years' of experience in Data Product Management, Data Architecture, Data Engineering ...

Bachelor's degree in Data science, Statistics, Economics, Computer Science, Engineering, or a related field. * 7+ years' of experience in Data Product Management, Data Architecture, Data Engineering ...

Bachelor's degree in Data science, Statistics, Economics, Computer Science, Engineering, or a related field. * 7+ years' of experience in Data Product Management, Data Architecture, Data Engineering ...

Showing results 41-60

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 Sep 5, 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 a computer science statistics?

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 do computer science statistics professionals do?

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 skills and qualifications are needed for computer science statistics?

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.

Is statistics useful in computer science?

Statistics is highly useful in 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 for many computer science roles.

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:

Infographic showing various Computer Science Statistics job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $128,114 per year, or $61.6 per hour.

Senior Data Analyst

Royal Bank of Canada

Minneapolis, MN • On-site

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Job Description

What is the opportunity?

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet Mall, MN location. You will support decision making in the Wealth Management business and translate complex data into actionable insights. This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in making critical decisions for their business.

If you have excellent communication, innovative thinking, attention to detail, and are looking for the next step in your career, we want to hear from you!

What will you do?

  • Engage and build relationships with banking and lending partners on major projects or initiatives, ensuring clear expectations on deliverables and timelines, understanding business priorities, and consulting on comprehensive analytics solutions and success criteria.
  • Collaborate with business partners to define and interpret business needs, design and document business requirements, apply best practices to negotiate deliverables, execute the requirements and perform required quality control processes to ensure highest quality.
  • Provide end-to-end analytics support, oversight and guidance for analytical initiatives including best practice design principles, approach recommendations, proper governance approaches and effective presentation methodologies in a fast-paced and rapidly changing environment.
  • Partner with data engineers, product partners and business leaders to identify meaningful opportunities to add value to the business utilizing statistics, advanced analytics and compelling visualizations.
  • Continually look for new ways to develop tools and information that help the business to measure and improve its processes and drive value for RBC clients and shareholders.
  • Analyze structured and unstructured datasets to solve complex business problems and tailor solutions that are scalable, verifiable and best fit the user's requirements.
  • Thorough design and development iteration, agile and documentation, review mission goals and ensure that final reporting and analytical solutions match client needs
  • Ensure adherence to governance, compliance, and data quality standards

What do you need to succeed?

Must-have

  • Bachelor's degree in Mathematics, Data Analytics, Engineering, Computer Science or related field
  • Five or more years of professional experience in data engineering, analytics and reporting, or related role
  • Hands-on experience managing and analyzing data in financial services (e.g. financial services KPIs, UHNW analytics, marketing, fixed income, advisory etc.)
  • Strong analysis skills, primarily investigating and explaining trends and variances using statistical techniques.
  • Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python, SQL, SAS and ETC).
  • Ability to prioritize and execute on multiple tasks as well as adjust to changing priorities and work effectively in a collaborative team environment.
  • Proven ability to present and communicate complex, technical materials in a way that facilitates decision making and drives outcomes to non-technical partners.

Nice-to-have

  • A self-starter with high energy and a driven curiosity to go beyond the obvious and provide ideas for innovation.
  • Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services.
  • Experience building and using AI/ML models, predictive analytics or statistical modeling to solve business problems.
  • Hands-on experience with Tableau, Power BI, Snowflake, Alteryx or similar tools.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business

For Minnesota the good-faith expected salary range for the above position is $70,000 - $130,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs.This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

Drives RBC's high performance culture

Enables collective achievement of our strategic goals

Generates sustainable shareholder returns and above market shareholder value

#LI-POST

Job Skills

Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents

Additional Job Details

Address:

250 NICOLLET MALL:MINNEAPOLIS

City:

Minneapolis

Country:

United States of America

Work hours/week:

40

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-22

Application Deadline:

2026-08-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME