ZipRecruiter

Log In

2

Remote Data Science Jobs in Minnesota (NOW HIRING)

Deloitte

GCP Manager

Minneapolis, MN · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

TEKsystems

IT Analyst V

New Ulm, MN · Remote

$55 - $62/hr

You will help bridge the gap between data science and software engineering by implementing ... remote position. Application Deadline This position is anticipated to close on Jun 26, 2026. About ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

next page

Showing results 1-20

All JobsRemote Data Science JobsRemote Data Science Jobs in Minnesota

Remote Data Science information

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Minnesota? The most popular types of Data Science jobs in Minnesota are:
What are popular job titles related to Remote Data Science jobs in Minnesota? For Remote Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Minnesota look for? The top searched job categories for Remote Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Science jobs? Cities in Minnesota with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Minnesota as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Director - Human Capital Insights

Director - Human Capital Insights

Ameriprise Financial

Minneapolis, MN • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 9 days ago

Ameriprise rating

8.1

Company rating: 8.1 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services

Job description

About Our Company


We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

Job Description

Are you passionate about transforming how organizations leverage data, analytics, and AI to drive workforce decisions? We have an exciting opportunity to join our global Human Resources organization as the Director of Human Capital Insights. In the rile, you will shape and lead the next evolution of our People Analytics function - partnering with senior leadership to define and execute a forward-looking vision that leverages advanced analytics, predictive modeling, and emerging AI and Intelligent Automation (IA) capabilities.
This is a highly visible, hands-on leadership role responsible for accelerating speed to insight - delivering timely, actionable workforce intelligence that enables leaders to make informed, data-driven decisions. You will lead a team focused on generating high-impact insights across the employee lifecycle while modernizing tools, processes, and operating models to support a more agile, data-centric organization. This individual will partner closely with cross-functional stakeholders, including HR leaders, business executives, technology teams, and data governance partners to embed analytics into core decision-making processes and unlock measurable business value.
If you are not located close to a physical office, remote work is considered for qualified candidates.

Key Responsibilities

Strategy & Transformation

  • Define and execute the Human Capital Analytics strategy and roadmap, aligned to business priorities and future workforce needs

  • Lead the evolution from reporting to proactive, insight-driven analytics emphasizing speed, scalability, and business impact

  • Identify and prioritize high-value use cases across the employee lifecycle, including opportunities to leverage AI and intelligent automation

Advanced Analytics & Insight Generation

  • Lead the design and delivery of advanced analytics solutions, including predictive and prescriptive modeling (e.g., attrition risk, workforce planning, talent mobility)

  • Accelerate speed to insight by streamlining processes, reducing cycle time, and enabling rapid delivery of actionable insights

  • Apply statistical methods, data science techniques, and business acumen to uncover trends, root causes, and opportunities

AI & Intelligent Automation

  • Identify and deploy practical AI and IA use cases that enhance analytics capabilities and improve efficiencies (e.g., segmentation, narrative generation, anomaly detection)

  • Promote responsible AI practices, including governance, transparency, and risk mitigation

Data, Technology & Self-Service Enablement

  • Modernize and scale analytics capabilities through automation, advanced tooling, and self-service solutions

  • Eliminate manual processes and duplicate efforts, improving how business partners access and consume insights

  • Partner with data governance teams to ensure data quality, access control, and integrity across key data domains

Executive Communication & Storytelling

  • Translate complex data into clear, compelling executive narratives that inform and influence decision-making

  • Develop, concise, insight-driven materials for senior leadership, linking workforce analytics to business outcomes

Leadership & Team Development

  • Lead and develop a high-performing, hybrid team supporting analytics and emerging data science capabilities

  • Foster a culture of innovation. Continuous learning, and data-driven decision making

  • Act as a champion for the function, removing barriers and enabling team success.


Required Qualifications

  • Bachelor's Degree or equivalent

  • 10+ Years' relevant experiencein analytics, data science or People Analytics

  • Demonstrated experience with advanced analytics, predictive modeling, and statistical techniques

  • Proficiency with modern analytics tools and languages (e.g., Python, R, SQL) and data visualization platforms

  • Experience applying analytics in a data-rich, complex environment

  • Proven ability to translate complex technical concepts into business-relevant insights

  • Strong executive communication and storytelling skills

  • Demonstrated ability to operate as a hands-on leader (player-coach), balancing strategy and execution

  • Ability to drive alignment across technical and non-technical stakeholders


Preferred Qualifications

  • Master's degree in quantitative or analytics fields (e.g., Statistics, Computer Science, Engineering, Behavioral Sciences)

  • Experience incorporating AI/ML and automation into analytics workflows

  • Experience with HR systems and data platforms (e.g., Workday, Prism, Power BI)

  • Prior experience leading or scaling a People Analytics or advanced analytics team

  • Familiarity with Agile or product-oriented deliver models for analytics

In-Office Collaboration

We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Visa Sponsorship

Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

Base Pay Salary

The estimated base salary for this role is $110,200 - $193,500 / year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

Full-Time/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Human Capital

Line of Business

HR Human Resources

Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

What Ameriprise employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Ameriprise logo

About Ameriprise

Sourced by ZipRecruiter

At Ameriprise Financial, we're not just in the business of helping clients with their financial goals - we also help our advisors and employees reach their true potential by embracing an inclusive and collaborative culture. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethical company that cares about you and your community, take the next step with Ameriprise Financial.

Industry

Funds, trusts and financial programs

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

1894

Social media

FacebookTwitter

View All Ameriprise Jobs

Apply