How to Become a Data Scientist in 2026
Median salary: $112,590 · +33.5% projected growth (2024–2034)
What does a Data Scientist do?
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Data Scientist Salary in 2026
The median annual salary for Data Scientists is $112,590. The bottom 10% earn around $63,650 while the top 10% earn over $194,410.
| Experience level | Annual salary |
|---|---|
| Entry-level (P10) | $63,650 |
| Early career (P25) | $82,630 |
| Median | $112,590 |
| Experienced (P75) | $155,810 |
| Top earners (P90) | $194,410 |
Highest-paying metros
Data Scientist salary by state
| State | Median salary |
|---|---|
| Washingtontop | $158,760 |
| District of Columbia | $137,120 |
| California | $136,800 |
| Massachusetts | $132,250 |
| New Jersey | $130,370 |
| Virginia | $126,070 |
| New York | $125,400 |
| Maryland | $124,340 |
| Hawaii | $123,880 |
| Vermont | $120,670 |
| Minnesota | $117,840 |
| Utah | $116,420 |
| North Carolina | $115,380 |
| Rhode Island | $114,390 |
| Illinois | $113,490 |
| Kansas | $110,320 |
| Connecticut | $109,960 |
| Idaho | $109,340 |
| Montana | $106,860 |
| Texas | $106,540 |
| Colorado | $106,500 |
| Oregon | $106,100 |
| Arizona | $106,080 |
| Florida | $105,820 |
| Alabama | $105,410 |
| Tennessee | $104,700 |
| Arkansas | $104,320 |
| Georgia | $102,630 |
| Pennsylvania | $100,320 |
| Wisconsin | $100,020 |
| Michigan | $99,470 |
| New Hampshire | $98,970 |
| Ohio | $98,620 |
| Iowa | $97,980 |
| Nebraska | $96,470 |
| North Dakota | $96,230 |
| Wyoming | $95,840 |
| West Virginia | $95,760 |
| Maine | $94,350 |
| Kentucky | $93,490 |
| Nevada | $93,310 |
| South Dakota | $92,000 |
| South Carolina | $90,660 |
| Missouri | $85,570 |
| New Mexico | $85,040 |
| Indiana | $84,050 |
| Oklahoma | $80,380 |
| Alaska | $77,400 |
| Louisiana | $70,530 |
| Mississippi | $69,430 |
How to earn more as a Data Scientist
The salary range for Data Scientists spans $130,760 — from $63,650 at entry level to $194,410 for top earners. The highest-paying metro area is San Jose-Sunnyvale-Santa Clara, CA at $173,160 — $60,570 above the national median. An advanced credential — such as a graduate degree or specialized certification — is consistently associated with higher earnings in this field.
How to get there
Typical education: Bachelor's degree
Starting from high school
- Complete a bachelor's degree program (4 years)
- Pursue internships and co-op experiences during your studies
- Build 1–2 years of entry-level experience
- Continue professional development and earn certifications
- Advance into full professional role after meeting experience requirements
Choose an accredited program with strong industry connections and internship placement rates. Look for schools that offer co-op programs where you alternate between study and paid work. Many employers recruit directly from university programs, so networking and career fairs are valuable. Consider the total return on investment — schools with lower tuition but strong placement rates often outperform expensive programs.
In-state public universities offer the best value. Federal financial aid, scholarships, and work-study programs can reduce costs by 40–60%.
With a related degree
- Complete additional coursework or a certificate program in the specialization
- Earn professional certifications (CompTIA A+/Network+/Security+, AWS/Azure certifications, PMP)
- Build relevant experience through lateral transfers or project work
- Position yourself for the role using your combined education and experience
Your existing degree covers many foundational requirements. Focus on the gap — often 3–6 specialized courses plus a certification or two. Many universities offer post-baccalaureate certificates that take 1–2 semesters. Online programs from accredited universities provide flexibility for working professionals.
Certificate programs and individual courses are much cheaper than a second degree. Many employers offer tuition reimbursement for career-relevant education.
Career change from another field
- Complete a second bachelor's or accelerated degree program
- Earn required professional certifications
- Complete supervised work experience or residency
- Leverage your previous career skills for a differentiated profile
Career changers bring valuable perspective — employers increasingly value diverse backgrounds. Look for accelerated programs designed for career changers (many fields now offer 12–18 month intensive programs). Your prior professional experience in areas like project management, communication, and leadership transfer directly and can accelerate your advancement once you enter the field.
Career change scholarship programs exist in many fields. Some employers offer sign-on bonuses or student loan repayment assistance for in-demand specializations.
Already working in another career?
See how your skills transfer to Data Scientist — free. PathScorer maps your experience against the requirements and shows you what you already qualify for.
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The Data Scientist role has a high AI exposure score. Significant parts of this role are automatable. Focus on the human-centric aspects that AI can't replicate.
See full AI risk breakdownRelated careers to consider
Based on skill overlap analysis — these occupations share core competencies with Data Scientist.
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SOC: 15-2051.00 · Data: O*NET 29.1, BLS OEWS 2024, BLS Employment Projections 2024–2034