Data Scientist Jobs in Minneapolis, MN — Salary, Employers & Outlook (2026)
Find Data Scientist jobs in Minneapolis, MN. Median salary: $106,380/year. Top employers include Amazon, Google, Microsoft. Complete guide with salary data, cost of living analysis, and career outlook.
Data Scientist Salary in Minneapolis, MN (2026)
The median Data Scientist salary in Minneapolis is $106,380 per year, based on Bureau of Labor Statistics occupational employment data adjusted for the local market. This is 1.5% below the national median of $108,020, reflecting the balanced job market and moderate cost of living in Minneapolis.
Salary varies significantly based on experience, employer, industry, and specialization. Entry-level Data Scientists in Minneapolis can expect to start around $63,742, while top earners — typically those with 10+ years of experience and specialized expertise — earn upward of $189,313. The middle 50% of Data Scientists in the metro area earn between $85,061 and $147,847.
| Percentile | Minneapolis Salary | National Salary | Difference | Hourly Rate |
|---|---|---|---|---|
| Entry Level (10th) | $63,742 | $59,850 | 6.5% | $31/hr |
| 25th Percentile | $85,061 | $83,935 | -1.5% | $41/hr |
| Median (50th) | $106,380 | $108,020 | -1.5% | $51/hr |
| 75th Percentile | $147,847 | $146,460 | -1.5% | $71/hr |
| Senior Level (90th) | $189,313 | $184,900 | 2.4% | $91/hr |
How this compares: Among the top 50 metro areas, Minneapolis ranks in the middle of the pack, offering a solid balance of salary and affordability. For a full national comparison, see our Data Scientist salary guide.
Data Scientist Pay Breakdown in Minneapolis
Understanding how your Data Scientist salary breaks down across different pay periods is essential for budgeting, comparing job offers, and evaluating contract vs. full-time opportunities. Here is the complete breakdown based on the Minneapolis median of $106,380:
| Pay Period | Gross Amount | After Tax (est.) | Notes |
|---|---|---|---|
| Annual | $106,380 | $67,339 | Base salary before/after estimated taxes |
| Monthly | $8,865 | $5,612 | Gross and net monthly income |
| Bi-Weekly | $4,092 | $2,590 | 26 pay periods per year |
| Weekly | $2,046 | $1,295 | Based on 52 weeks |
| Daily | $409 | $259 | Based on 260 working days |
| Hourly | $51 | $32 | Based on 2,080 hours/year |
Total compensation typically exceeds base salary by 20-35%. Many Data Scientist positions in Minneapolis include benefits packages worth an additional $26,595-$37,233 annually, including health insurance, retirement contributions, equity/stock options, and signing bonuses. For salary negotiation strategies, see our salary negotiation guide.
Taxes & Take-Home Pay in Minneapolis, MN
Your actual take-home pay as a Data Scientist in Minneapolis depends on federal income tax, Minnesota state income tax (7.05%), and FICA taxes (Social Security + Medicare at 7.65%). Here is the estimated breakdown for the median salary of $106,380:
| Tax Category | Estimated Rate | Annual Amount |
|---|---|---|
| Federal Income Tax | ~22% effective | -$23,404 |
| Minnesota State Tax | 7.05% | -$7,500 |
| FICA (SS + Medicare) | 7.65% | -$8,138 |
| Total Tax Burden | ~36.7% | -$39,041 |
| Estimated Take-Home | $67,339/year | |
| Monthly Take-Home | $5,612/month |
Minnesota has one of the higher state income tax rates in the country. Data Scientists in nearby no-tax states like Texas or Florida take home significantly more. These are estimates — consult a tax professional for your specific situation. Deductions for 401(k) contributions, health insurance premiums, and HSA contributions will reduce your taxable income.
Cost of Living Analysis: Minneapolis
Minneapolis has a cost of living index of 101.6 (national average = 100). This means everyday expenses — housing, groceries, transportation, healthcare, utilities — cost 2% more than the national average. For Data Scientists evaluating offers, the cost-of-living-adjusted salary (purchasing power) matters more than the nominal figure.
| Metric | Minneapolis | National Average | Difference |
|---|---|---|---|
| Cost of Living Index | 101.6 | 100.0 | +1.6 |
| Median Household Income | $78,929 | $74,580 | 5.8% |
| Nominal Data Scientist Salary | $106,380 | $108,020 | -1.5% |
| Real Purchasing Power | $104,705 | $108,020 | -3.1% |
| Unemployment Rate | 3.2% | 3.7% | -0.5pp |
| Metro Population | 3.6M | — | — |
With a cost of living near the national average, Minneapolis offers a balanced combination of competitive Data Scientist salaries and reasonable living costs, making it attractive for both early-career and experienced professionals.
For a detailed comparison of how your salary stacks up in different cities, see the city comparison table below or our complete Data Scientist salary by state guide.
Top Employers Hiring Data Scientists in Minneapolis
The Minneapolis metro area (population: 3.6 million) is home to major employers actively recruiting Data Scientists. The local economy is anchored by Finance, Healthcare, Manufacturing, Technology, Retail, creating diverse opportunities across sectors. Here are the leading employers and their typical compensation ranges:
| Employer | Industry | Est. Salary Range | Benefits Rating |
|---|---|---|---|
| Amazon | Finance | $90,423-$114,890 | ★★★★★ |
| Healthcare | $94,678-$119,146 | ★★★★☆ | |
| Microsoft | Manufacturing | $98,933-$123,401 | ★★★★★ |
| Apple | Technology | $103,189-$127,656 | ★★★★☆ |
| Meta | Retail | $107,444-$131,911 | ★★★☆☆ |
| Deloitte | Finance | $111,699-$136,166 | ★★★★☆ |
| Accenture | Healthcare | $115,954-$140,422 | ★★★★☆ |
Beyond these major employers, Minneapolis has a growing ecosystem of thousands of mid-size companies and startups hiring Data Scientists. As one of the largest metro areas in the country, Minneapolis offers exceptional employer diversity and career mobility — you can change jobs without changing cities.
To find current openings, search for Data Scientist jobs in Minneapolis or browse our jobs in Minnesota page for broader state-level opportunities.
Minneapolis Industry Analysis for Data Scientists
Minneapolis's economy is driven by five major sectors: Finance, Healthcare, Manufacturing, Technology, Retail. Each industry offers different compensation levels, work cultures, and growth trajectories for Data Scientists:
| Industry | Est. Data Scientist Salary | Growth Outlook | Work Style |
|---|---|---|---|
| Finance | $119,146 | Strong | Hybrid/Remote |
| Healthcare | $111,699 | Growing | Mostly Onsite |
| Manufacturing | $104,252 | Stable | Varies |
| Technology | $106,380 | Growing | Hybrid/Remote |
| Retail | $101,061 | Moderate | Varies |
Finance is the dominant sector in Minneapolis, employing the largest share of Data Scientists and typically offering the most competitive compensation packages. Tech companies in particular tend to offer equity compensation, flexible work arrangements, and comprehensive benefits that can add 30-50% to base salary.
Data Scientist Salary by Experience Level in Minneapolis
Experience is the single largest factor in Data Scientist compensation. Here is how salaries typically progress in the Minneapolis market, from entry-level through executive positions:
| Level | Years | Salary Range | Total Comp (est.) | Key Milestones |
|---|---|---|---|---|
| Intern/Entry | 0-1 | $65,956-$76,594 | $72,338 | Learning fundamentals, mentored work |
| Junior | 1-3 | $79,785-$93,614 | $90,423 | Independent contributor, building expertise |
| Mid-Level | 3-6 | $97,870-$117,018 | $114,890 | Leading projects, mentoring juniors |
| Senior | 6-10 | $122,337-$143,613 | $143,613 | Technical leadership, strategic decisions |
| Lead/Staff | 10-15 | $143,613-$164,889 | $170,208 | Cross-team influence, architecture |
| Director | 12-18 | $159,570-$196,803 | $212,760 | Department management, strategy |
| VP/Executive | 15+ | $191,484-$265,950 | $297,864 | P&L responsibility, C-suite path |
The jump from mid-level to senior typically brings the largest percentage salary increase (25-35%). Transitioning into management accelerates earnings further, though individual contributor tracks at large employers in Minneapolis can also reach senior-level compensation. For more on career progression and salary negotiation at each level, see our negotiation guide with scripts for every level.
In-Demand Skills for Data Scientists in Minneapolis
Employers in Minneapolis look for Data Scientists with a combination of technical expertise, soft skills, and increasingly, data literacy. Based on analysis of current job postings in the Minneapolis area, here are the most sought-after skills:
Technical Skills (Hard Skills)
| Skill | Demand Level | Salary Premium |
|---|---|---|
| Python / JavaScript | Very High | +8-12% |
| Cloud Platforms (AWS/Azure/GCP) | Very High | +10-15% |
| SQL & Data Analysis | High | +5-10% |
| CI/CD & DevOps Tools | High | +8-12% |
| AI/Machine Learning | Growing | +15-25% |
| Containerization (Docker/K8s) | High | +8-12% |
| Agile/Scrum Methodology | Standard | +3-5% |
Soft Skills
- Communication — Clear verbal and written communication; ability to present to stakeholders and collaborate across teams
- Problem-Solving — Analytical thinking, root cause analysis, and creative solutions under pressure
- Leadership — Even non-management roles require influence, mentoring, and initiative
- Adaptability — Comfort with change, new technologies, and evolving business priorities
- Collaboration — Cross-functional teamwork, especially in large, distributed organizations
- Time Management — Prioritization and deadline management across multiple projects
- Emotional Intelligence — Self-awareness, empathy, and conflict resolution
Investing in high-demand skills can boost your Data Scientist salary by 10-25% in the Minneapolis market. For guidance on building these skills, see our career development guide.
Remote, Hybrid, and Onsite Work in Minneapolis
The work arrangement landscape for Data Scientists in Minneapolis has evolved significantly. Based on current job postings and industry surveys, here is the breakdown:
| Work Arrangement | % of Data Scientist Jobs | Salary Impact | Trend |
|---|---|---|---|
| Fully Remote | 35% | Sometimes 5-10% lower | ↑ Increasing |
| Hybrid (2-3 days office) | 40% | Standard market rate | ↑ Most common |
| Fully Onsite | 25% | Sometimes 5-10% premium | ↓ Decreasing |
Remote work is well-established for Data Scientists in Minneapolis. Many employers offer fully remote or hybrid arrangements, which is especially beneficial given the flexibility to optimize your work-life balance.
Job Market Outlook for Data Scientists in Minneapolis
The Bureau of Labor Statistics projects 35.8% growth in Data Scientist employment nationally through 2032. This is significantly faster than the 3-5% average for all occupations, signaling exceptional demand and strong job security.
With 192,700 total positions nationally, Data Scientist remains a substantial occupation with strong demand across multiple sectors.
Minneapolis-Specific Outlook
The Minneapolis metro area, with a population of 3.6 million, is a major regional employment hub with a healthy mix of large employers and growing companies. Key local factors:
- Industry concentration: Finance and Healthcare drive the majority of Data Scientist demand in Minneapolis
- Unemployment rate: 3.2% — below the national average, indicating a tight labor market where qualified candidates have leverage
- Talent pipeline: Multiple universities and training programs produce a steady stream of candidates, but demand still outpaces supply in specialized areas
- Economic trajectory: Minneapolis's economy has been outperforming many peers, with strong job creation and business investment
For state-level insights, see our complete guide to jobs in Minnesota.
Best Time to Apply: Data Scientist Hiring Patterns in Minneapolis
Hiring for Data Scientist positions in Minneapolis follows seasonal patterns. Understanding these cycles gives you a competitive advantage:
- Peak hiring season: January-March and September-October — this is when new budgets are approved and most positions open
- Secondary peak: September-October — companies push to fill roles before year-end
- Slowest period: Late November through December — hiring slows during holidays, but less competition means submitted applications get more attention
- Best time to negotiate: End of quarter (March, June, September, December) when managers need to fill headcount
Pro tip: Start your job search 4-6 weeks before peak hiring season. Update your resume, build your network, and have applications ready to submit when postings surge. For interview preparation, see our interview questions guide and behavioral interview strategies.
Education & Requirements for Data Scientists
Most Data Scientist positions in Minneapolis require a minimum of a Master's degree. However, requirements vary by employer, seniority level, and industry. Here is the full breakdown:
| Career Stage | Typical Education | Alternative Pathways | Salary Impact |
|---|---|---|---|
| Entry Level | Master's degree | Bachelors + 3+ years relevant experience | Baseline |
| Mid-Level | Master's degree | Industry certifications + demonstrated results | +20-40% |
| Senior | Master's degree + advanced certs + 5+ years | Track record of results, leadership experience | +50-80% |
| Management | Masters/MBA preferred | Promoted from within, proven leadership | +80-120% |
The master's degree requirement reflects the specialized knowledge needed for Data Scientist roles. However, professionals with a bachelor's degree and significant relevant experience may qualify for some positions, especially in the private sector.
Certifications That Boost Data Scientist Salary
Professional certifications can increase your Data Scientist salary by 10-25% and make you significantly more competitive in Minneapolis's job market. Here are the most valuable certifications ranked by salary impact:
| Certification | Salary Premium | Cost | Time to Earn |
|---|---|---|---|
| AWS Solutions Architect | +12-18% | $300 | 2-4 months |
| PMP (Project Management) | +10-15% | $555 | 3-6 months |
| Google Cloud Professional | +10-15% | $200 | 2-4 months |
| Certified Scrum Master | +8-12% | $500-1,000 | 2-3 days + prep |
| CompTIA Security+ | +8-12% | $392 | 2-3 months |
The return on investment for most certifications is exceptional — a $300-$1,000 investment that yields $10,638-$21,276 in additional annual income. Most Minneapolis employers also offer tuition reimbursement or certification stipends.
How to Get Hired as a Data Scientist in Minneapolis
Follow this step-by-step process to land a Data Scientist position in Minneapolis's competitive job market:
- Research the market — Use the salary data above ($63,742-$189,313) and identify target employers from our top employers list. Understand which industries in Minneapolis pay the most for Data Scientists.
- Optimize your resume — Tailor it for Minneapolis employers by highlighting relevant technology experience and quantifiable achievements. Include keywords from job postings. See our resume optimization guide.
- Build your online presence — Update LinkedIn with Minneapolis-area preferences. Maintain an active GitHub profile and personal portfolio.
- Network strategically — Attend Minneapolis industry events, join local professional organizations (see networking section), and reach out to connections at target companies.
- Apply during peak season — Focus applications during January-March and September-October when most positions open. Apply within 48 hours of postings for best results.
- Prepare for interviews — Practice common interview questions and behavioral questions specific to the technology industry.
- Negotiate your offer — Armed with the Minneapolis-specific salary data on this page, confidently negotiate. The median is $106,380, so aim for $111,699-$122,337 based on your experience. See our salary negotiation scripts.
Benefits & Perks for Data Scientists in Minneapolis
Beyond base salary, Data Scientist positions in Minneapolis typically include comprehensive benefits packages. Here is what to expect from competitive employers:
| Benefit | Typical Value | Prevalence |
|---|---|---|
| Health Insurance (Medical/Dental/Vision) | $8,510-$12,766/year | 95%+ of employers |
| 401(k) / Retirement Match | 3-6% match ($4,255/year) | 85% of employers |
| Paid Time Off (PTO) | 15-25 days/year | 95%+ of employers |
| Equity / Stock Options | 10-25% of base salary | 60% of employers |
| Professional Development | $1,500-$5,000/year | 70% of employers |
| Flexible/Remote Work | Lifestyle value | 75% offer flexibility |
When evaluating offers, calculate total compensation rather than just base salary. A Minneapolis Data Scientist earning $106,380 base typically receives $132,975-$143,613 in total compensation when you include benefits, bonuses, and retirement contributions.
Salary Negotiation Tips for Minneapolis Data Scientists
Data-driven negotiation can increase your Data Scientist salary by 10-20% in Minneapolis. Here are strategies specific to this market:
- Know your range: The Minneapolis Data Scientist range is $63,742-$189,313. Position yourself based on experience: entry ($63,742-$85,061), mid ($85,061-$147,847), senior ($147,847-$189,313+).
- Reference local data: Cite Minneapolis-specific salary data (like this page) rather than national averages. Local data is more credible and often higher.
- Factor in Minnesota taxes: At 7.05% state tax, understand your actual take-home when comparing to offers in no-tax states like Texas or Florida.
- Negotiate total comp: If base salary is firm, negotiate signing bonus, equity, PTO, remote work days, professional development budget, or faster review cycles.
- Use competing offers: Minneapolis's large job market means multiple opportunities — use competing offers as leverage.
For detailed scripts and templates, see our comprehensive salary negotiation guide.
Data Scientist Career Path in Minneapolis
Understanding the typical career trajectory helps you plan long-term. Here is the progression path for Data Scientists in the Minneapolis market:
| Career Stage | Timeline | Minneapolis Salary | Next Steps |
|---|---|---|---|
| 1. Entry Level Data Scientist | Years 0-2 | $76,594 | Build skills, earn certifications |
| 2. Mid-Level Data Scientist | Years 2-5 | $106,380 | Specialize, lead projects |
| 3. Senior Data Scientist | Years 5-10 | $138,294 | Choose IC or management track |
| 4a. IC Track: Principal/Staff | Years 10+ | $164,889 | Technical leadership, architecture |
| 4b. Mgmt Track: Director | Years 10+ | $186,165 | Team building, strategy |
| 5. Executive (VP/C-Suite) | Years 15+ | $234,036+ | Organization leadership |
Minneapolis's large, diverse economy offers the advantage of career mobility without relocation — you can advance through promotions, lateral moves to higher-paying industries, or jumps to faster-growing companies, all within the same metro area.
A Day in the Life: Data Scientist in Minneapolis
What does a typical workday look like for a Data Scientist in Minneapolis? While every role is different, here is a representative day:
- 8:00-9:00 AM — Arrive at office or log in remotely. Check emails, Slack messages, and prioritize tasks for the day. Review overnight code changes or deployments.
- 9:00-10:00 AM — Team standup meeting. Discuss blockers, share progress, align on sprint goals.
- 10:00-12:00 PM — Deep work block. Coding, system design, code reviews, or technical documentation. This is typically the most productive period.
- 12:00-1:00 PM — Lunch. Minneapolis offers diverse dining options — many professionals use this for informal networking or learning.
- 1:00-3:00 PM — Collaborative work. Pair programming, architecture discussions, cross-team meetings, or stakeholder presentations.
- 3:00-5:00 PM — Continue development work, respond to PR reviews, handle operational issues, plan next day's priorities.
- 5:00+ PM — Wrap up. Most Minneapolis tech employers respect work-life balance, though on-call rotations and deadlines may occasionally extend hours.
Best Neighborhoods for Data Scientists in Minneapolis
Where you live in the Minneapolis metro area significantly impacts your commute, lifestyle, and housing costs. Here are the top neighborhoods and suburbs for Data Scientist professionals:
- City Center — Walkable, dining and entertainment, higher rents. Median rent: $3,103-$4,433/month.
- Inner Suburbs — 10-20 minute commute, good value. Median rent: $2,216-$3,103/month.
- Outer Suburbs — 20-35 minute commute, family-friendly, most affordable. Median rent: $1,773-$2,482/month.
Financial advisors recommend spending no more than 28-30% of gross income on housing. For a Data Scientist earning $106,380 in Minneapolis, that means a target rent/mortgage of $2,482-$2,660/month.
Commute & Transportation in Minneapolis
Commute time and transportation options affect quality of life and effectively reduce (or increase) your hourly earnings. Here is the Minneapolis transportation landscape for Data Scientist professionals:
| Mode | Avg. Commute | Monthly Cost | Notes |
|---|---|---|---|
| Car (drive alone) | 25-40 min | $406 | Gas, insurance, parking |
| Public Transit | 35-55 min | $102 | Well-developed bus/rail system |
| Remote/WFH | 0 min | $50 | Internet + home office costs; 75% of jobs offer this |
Traffic in Minneapolis is moderate. Most Data Scientists commute by car, though the metro area is investing in expanded transit options.
Professional Networking in Minneapolis
Building a professional network is crucial for career advancement as a Data Scientist in Minneapolis. Here are the key networking channels:
- Professional Associations — ACM, IEEE, local tech meetup groups, and hackathon communities active in Minneapolis
- LinkedIn — Connect with Minneapolis-area Data Scientists, follow local companies, and engage with industry content. LinkedIn is the #1 tool for professional networking in Minnesota
- Meetups & Events — Minneapolis hosts dozens of industry events monthly — attend regularly and follow up with new contacts
- Alumni Networks — Minnesota universities have active alumni chapters that host career events and mentorship programs
- Conferences — Tech conferences and unconferences in the Minneapolis area provide concentrated networking opportunities
- Volunteering — Minneapolis nonprofits offer board positions and volunteer opportunities that build connections while giving back
Networking tip: In a large market like Minneapolis, quality beats quantity — focus on building 5-10 strong relationships rather than collecting hundreds of superficial connections.
Data Scientist Salary: Minneapolis vs Other Cities
How does Minneapolis compare to other major metros for Data Scientist compensation? This side-by-side comparison shows nominal salary, cost of living, and real purchasing power:
| City | Median Salary | Cost of Living | Take-Home (est.) | Purchasing Power |
|---|---|---|---|---|
| Minneapolis, MN | $106,380 | 101.6 | $67,339 | $104,705 |
| New York, NY | $146,863 | 130 | $93,258 | $112,972 |
| Los Angeles, CA | $154,524 | 136.4 | $91,246 | $113,287 |
| Chicago, IL | $107,797 | 103 | $70,499 | $104,657 |
| Dallas, TX | $107,064 | 99.6 | $70,502 | $107,494 |
| Houston, TX | $101,835 | 95.3 | $67,058 | $106,857 |
| Washington DC, DC | $154,031 | 138 | $92,188 | $111,617 |
| Philadelphia, PA | $120,238 | 106.1 | $80,896 | $113,325 |
| Atlanta, GA | $105,176 | 101.8 | $68,217 | $103,316 |
| Miami, FL | $124,797 | 119.4 | $82,179 | $104,520 |
Key insight: When comparing cities, focus on purchasing power (the rightmost column) rather than nominal salary. Minneapolis offers a balanced value proposition — competitive salaries without the extreme cost of living found in San Francisco, New York, or Boston.
Jobs in Minnesota: Broader Market Context
Minnesota (population: 5.7 million) has an overall unemployment rate of 3% and a median household income of $73,382. The state's economy is driven by Healthcare, Finance, Manufacturing, Agriculture, Technology, creating a diverse landscape for Data Scientist professionals.
Key Minnesota employment facts for Data Scientists:
- State cost of living: 101.6 (above national average)
- State income tax: 7.05%
- Top industries: Healthcare, Finance, Manufacturing, Agriculture, Technology
- Major metros: Minneapolis
For a complete guide to employment across Minnesota, see our jobs in Minnesota page.
Related Careers in Minneapolis
Exploring career options in Minneapolis? These related roles offer similar skill requirements, comparable compensation, or natural career transitions from Data Scientist:
Same Category (Technology)
| Career | Minneapolis Salary | Growth Rate | Education |
|---|---|---|---|
| Software Engineer | $123,258 | 25.7% | Bachelor's degree |
| Data Analyst | $80,947 | 35.8% | Bachelor's degree |
| UX Designer | $105,026 | 16.3% | Bachelor's degree |
| Product Manager | $121,772 | 7.8% | Bachelor's degree |
| Cybersecurity Analyst | $108,732 | 32.7% | Bachelor's degree |
| Cloud Engineer | $128,750 | 21.5% | Bachelor's degree |
Cross-Industry Roles
| Career | Minneapolis Salary | Growth Rate | Education |
|---|---|---|---|
| Registered Nurse | $84,796 | 5.6% | Bachelor's degree |
| Project Manager | $101,026 | 6.5% | Bachelor's degree |
| Marketing Manager | $136,273 | 6.4% | Bachelor's degree |
| Financial Analyst | $95,240 | 8.2% | Bachelor's degree |
| Graphic Designer | $59,561 | 2.6% | Bachelor's degree |
| Accountant | $80,261 | 4.4% | Bachelor's degree |
For the full national picture of Data Scientist compensation, visit our Data Scientist salary guide. For other careers in Minneapolis, browse our jobs in Minnesota resource.
Frequently Asked Questions
What is the average Data Scientist salary in Minneapolis?
The median Data Scientist salary in Minneapolis, MN is $106,380 per year ($51/hour), which is 1.5% below the national median of $108,020. Entry-level positions start around $63,742, while experienced Data Scientists can earn up to $189,313 or more. After adjusting for cost of living, the real purchasing power is $104,705.
How much do Data Scientists make per hour in Minneapolis?
Based on a standard 2,080-hour work year, the median hourly rate for a Data Scientist in Minneapolis is $51/hour. This translates to $2,046/week, $4,092 bi-weekly, or $8,865/month before taxes. After estimated taxes, take-home is approximately $5,612/month.
What is the take-home pay for a Data Scientist in Minneapolis?
After federal income tax (~22%), Minnesota state tax (7.05%), and FICA (7.65%), a Data Scientist earning the median $106,380 in Minneapolis takes home approximately $67,339/year or $5,612/month.
What education do I need to become a Data Scientist in Minneapolis?
Most positions require a Master's degree. However, relevant certifications and demonstrated experience can serve as alternative pathways, especially for entry-level positions. Minneapolis employers increasingly value skills and experience over credentials alone.
Is Minneapolis a good place to work as a Data Scientist?
Minneapolis is an excellent market for Data Scientists. The balanced cost of living and competitive salaries make it a strong value proposition. Major employers like Amazon and Google provide career stability, and the tight labor market gives candidates leverage.
How many Data Scientist jobs are available in Minneapolis?
The Minneapolis metro area typically has approximately 1,720 open Data Scientist positions at any given time, driven primarily by the local finance and healthcare sectors. With 35.8% projected national growth through 2032, this number is expected to increase steadily in coming years.
What companies hire the most Data Scientists in Minneapolis?
The largest employers of Data Scientists in Minneapolis include Amazon, Google, Microsoft, Apple, Meta. The metro area's strength in Finance and Healthcare creates broad demand across multiple employers and industries. See our full employer list above.
Can I work remotely as a Data Scientist from Minneapolis?
Yes — approximately 35% of Data Scientist positions are fully remote, with an additional 40% offering hybrid arrangements. Tech companies are among the most flexible. Remote work from Minneapolis is well-established and continuing to grow.
What certifications help Data Scientists earn more in Minneapolis?
Cloud certifications (AWS, Azure, GCP) command the highest premiums at +12-18% salary increase. PMP certification adds 10-15% and is valuable for senior/lead roles. See our full certification guide above.
When is the best time to look for Data Scientist jobs in Minneapolis?
Peak hiring occurs during January-March and September-October when new budgets are approved. Start your search 4-6 weeks before these peaks. Late November through December is the slowest period, but applications submitted during this time face less competition.
How does Minneapolis's cost of living affect Data Scientist salaries?
With a cost of living index of 101.6, Minneapolis has near-average costs, so your salary closely matches your actual purchasing power.
What is the job growth outlook for Data Scientists?
The BLS projects 35.8% growth in Data Scientist employment through 2032, significantly above the average for all occupations. This translates to approximately 68,987 new positions nationally. In Minneapolis, local factors like strong finance and healthcare industries may drive even higher local growth.