Data Scientist Salary Calculator

The sections below walk through every factor the Data Scientist salary calculator accounts for, from baseline pay ranges and entry-level expectations to location-specific adjustments and the skills that push compensation higher.

1. What Are the Salary Ranges for a Data Scientist?
2. What Is the Entry Level Salary for a Data Scientist?
3. How Much Does a Data Scientist Earn at Entry Level vs Senior Level?
4. Where Are the Best Job Markets for Data Scientists?
5. Which Employers Hire Data Scientists and What Do They Pay?
6. What Job Responsibilities Affect a Data Scientist's Salary?
7. What Factors Push a Data Scientist's Salary Higher?
8. What Factors Lower a Data Scientist's Salary?
9. What Benefits Do Data Scientists Typically Receive?
10. What Skills Influence a Data Scientist's Salary?
11. How Does Data Scientist Salary Vary by Different States and Cities?

The salary calculator uses $57.50 per hour as the national median hourly reference point for data scientists. Under a standard full-time assumption of 40 hours per week and 52 weeks per year, that translates to roughly $119,600 annually at the midpoint. The calculator generates a low-to-high range around this figure to reflect the wide variation across the profession.

At the lower end, data scientists in smaller markets or with limited experience may see hourly estimates closer to $40.00–$48.00, producing annual ranges around $83,200–$99,800. At the higher end, experienced professionals in large metro areas with advanced degrees can see hourly figures of $72.00–$90.00+, which corresponds to annual estimates of $149,800–$187,200+.

These ranges shift when you change the hours-per-week setting. A data scientist working 30 hours per week in a part-time arrangement will see proportionally lower weekly, monthly, and annual figures, though the hourly rate itself remains the same. The calculator makes this scaling transparent so you can compare full-time and part-time scenarios side by side.

Entry level in the salary calculator is defined as a data scientist with limited professional experience — typically zero to two years — and a credential at the bachelor's degree level. When you set these inputs, the calculator applies downward adjustments from the $57.50 median hourly base to reflect the reduced market value of a candidate who has not yet accumulated production-level project experience or specialized domain expertise.

For a full-time, entry-level data scientist in a mid-sized metro area, the calculator typically produces hourly estimates in the range of $38.00–$48.00, which translates to an annual salary range of approximately $79,000–$99,800. Selecting a large metro market such as San Francisco or New York City raises these figures, while choosing a small market pulls them lower.

Education level matters at the entry stage. If you hold a master's degree or have completed a rigorous data science bootcamp with a capstone portfolio, the calculator adjusts upward compared to a bachelor's-only profile. This reflects real hiring patterns where employers such as Meta, Amazon, and mid-sized analytics firms differentiate starting offers based on educational depth.

The gap between entry-level and senior-level data scientist compensation is among the widest in the technology sector. The salary calculator models this by adjusting the hourly base according to years of experience and education level, both of which compound at higher tiers.

A senior data scientist with 10 years of experience, a Ph.D. in a quantitative field, and a position in a large metro area can see the calculator output hourly rates that exceed $90.00. Meanwhile, an entry-level candidate in the same city might see roughly half that rate. The calculator lets you toggle between these profiles instantly to understand where you sit and what trajectory looks like in dollar terms.

The strongest job markets for data scientists combine a high density of technology employers, competitive salaries, and sustained demand for machine learning and analytics talent. Large metro areas with established tech ecosystems consistently produce the highest salary calculator outputs.

Markets like San Francisco and Seattle benefit from headquarters concentrations of companies that invest heavily in data infrastructure. The salary calculator reflects this through the large metro adjustment factor, which lifts estimates above those generated for small or mid-sized markets.

Data scientists are employed across technology, finance, healthcare, e-commerce, and government sectors, and compensation varies significantly by employer type and scale.

Consulting firms like Deloitte and Booz Allen Hamilton sometimes engage data scientists as 1099 contractors, which the salary calculator accounts for in the after-tax estimate. Switching from W-2 to 1099 in the calculator increases gross hourly pay but also reflects the additional self-employment tax burden.

The scope of work a data scientist performs directly influences where they fall on the salary calculator's range. At its core, the role involves extracting insights from structured and unstructured data, building predictive models, and communicating findings to stakeholders who make business decisions. However, the specific responsibilities vary considerably by employer and seniority.

Data scientists who spend the majority of their time on machine learning model development and deployment — writing production-grade code, building ML pipelines, and managing model performance in real time — tend to sit at the higher end of the calculator's output. This work requires a combination of software engineering discipline and statistical rigor that commands premium compensation.

Those focused on exploratory data analysis, dashboard creation, and ad hoc reporting generally fall closer to the midpoint or slightly below. While these tasks are essential, they overlap with responsibilities handled by data analysts and business intelligence professionals, which tempers the salary premium.

Professionals who take on cross-functional leadership — defining the data strategy for a product team, mentoring junior scientists, or owning a company's experimentation platform — see the calculator reflect that expanded scope through higher experience-adjusted estimates. The salary calculator captures this by combining years of experience with education level, since leadership responsibilities correlate with both.

Several concrete factors produce higher outputs from the Data Scientist salary calculator, each of which maps to a specific input or adjustment mechanism.

Advanced degrees have a measurable impact. A Ph.D. in statistics, computer science, mathematics, or a related quantitative field pushes the education-level adjustment to its highest tier. Employers such as Google DeepMind and Meta's FAIR research lab explicitly prefer or require doctoral training, and the salary calculator reflects this through its education multiplier.

Deep experience in high-demand specializations such as natural language processing, computer vision, reinforcement learning, or causal inference elevates compensation. The calculator captures this through the years-of-experience slider, but in practice, the domain specialization is what justifies the upper ranges for a given experience level.

Large metro job markets generate the highest salary adjustment factor. Selecting San Francisco, New York City, or Seattle in the calculator produces estimates that can exceed small-market results by 30% or more, driven by cost of living and employer competition.

1099 contractor classification often comes with a higher gross hourly rate because the employer is not covering payroll taxes, health insurance, or retirement benefits. The calculator shows this as a higher pre-tax figure, while the after-tax output reveals the narrower gap once self-employment taxes are factored in.

The salary calculator also identifies conditions that produce lower estimates, and understanding them prevents unrealistic expectations.

Small job markets apply the lowest geographic adjustment. A data scientist in a small metro area with only one or two major employers will see calculator output well below the national median, sometimes by 15–25%, because the local labor market lacks competitive bidding for talent.

Limited experience paired with a bachelor's-only education places candidates at the bottom of the calculator's range. Without a master's or Ph.D., the education adjustment stays at its baseline, and zero-to-two years of experience applies the steepest downward scaling.

Part-time hours reduce weekly, monthly, and annual estimates proportionally. A data scientist working 20 hours per week sees exactly half the weekly output of a 40-hour counterpart at the same hourly rate.

Roles with a heavier analytics or reporting focus — rather than machine learning engineering — tend to cluster around or below the $57.50 median. If a job description emphasizes SQL queries, Tableau dashboards, and stakeholder presentations over model training and deployment, the effective market rate trends lower.

Geographic areas with low cost of living and modest tech presence — such as rural parts of Ohio, Indiana, or North Carolina — will generate the calculator's lower-bound estimates. Employers in these regions calibrate offers to local economics.

The benefits package available to a data scientist depends heavily on whether the position is classified as W-2 or 1099, and the salary calculator's after-tax module accounts for this distinction.

W-2 data scientists at established companies typically receive employer-sponsored health insurance (medical, dental, and vision), a 401(k) plan with employer matching — often 4–6% of salary — paid time off ranging from 15 to unlimited days, and equity compensation in the form of restricted stock units (RSUs) or stock options. Companies like Google, Amazon, and Spotify also provide annual learning stipends, conference travel budgets, and home office allowances. The salary calculator lets you input your 401(k) contribution percentage, which reduces your taxable income and changes the after-tax estimate accordingly.

1099 contract data scientists forego most employer-provided benefits. They are responsible for securing their own health insurance, have no employer 401(k) match, and receive no paid leave. To compensate, contract rates are typically 20–35% higher on an hourly basis. The calculator models this by allowing you to switch between W-2 and 1099, showing how gross pay increases but after-tax take-home pay narrows once self-employment tax is included.

Some firms, particularly government contractors such as Booz Allen Hamilton and consulting firms like Deloitte, offer hybrid arrangements where benefits are available but at a reduced level compared to pure tech employers. The calculator's flexibility lets you model these scenarios by adjusting the 401(k) and filing inputs to approximate your actual situation.

The skills a data scientist brings to the table determine where they land on the calculator's range, and certain competencies consistently correlate with higher estimates.

Python and R proficiency are table stakes — nearly every data scientist role requires fluency in at least one. However, the salary premium emerges from depth: expertise in libraries such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers signals the ability to build and deploy production machine learning models, which the calculator's upper ranges are calibrated to reflect.

SQL and data engineering fluency — including experience with Spark, Airflow, dbt, and cloud data warehouses like BigQuery, Snowflake, or Redshift — differentiates candidates who can work independently across the data stack. Employers pay more for data scientists who do not require a dedicated data engineer to prepare every dataset.

Statistical rigor and experimental design remain essential. Mastery of A/B testing frameworks, Bayesian inference, causal modeling, and survival analysis enables data scientists to answer questions that directly affect revenue, which justifies higher compensation.

Cloud platform experience — AWS SageMaker, Google Cloud Vertex AI, or Azure ML — is increasingly required for deployment-oriented roles. Data scientists who can take a model from a Jupyter notebook to a scalable API endpoint command rates at the higher end of the calculator's output.

Domain expertise in a specific industry, whether fintech risk modeling, clinical trial analysis, or adtech bidding algorithms, adds a premium that the calculator approximates through the experience and education adjustments. Two data scientists with identical technical skills but different domain knowledge can see meaningfully different offers.

Location is one of the most impactful variables in the Data Scientist salary calculator. The combination of state income tax rates, local cost of living, employer density, and job market size creates substantial variation in both gross and after-tax estimates. Below, each state and city is addressed individually to explain how the calculator adjusts for that location.

What Does a Data Scientist Earn in New York?

New York has one of the highest concentrations of data science roles in the country, driven by finance (JPMorgan Chase, Goldman Sachs, Bloomberg), advertising technology, and a growing startup ecosystem. The salary calculator applies a large metro adjustment for New York City and reflects the state's progressive income tax structure, which is among the highest nationally. After-tax estimates for New York-based data scientists will be noticeably lower than gross figures compared to states without income tax, but gross pay is elevated to compensate.

What Does a Data Scientist Earn in California?

California dominates data science hiring. The San Francisco Bay Area and Silicon Valley are the epicenter for companies like Google, Meta, Apple, and hundreds of AI-focused startups. Los Angeles and San Diego also host significant data science demand in entertainment, biotech, and defense. The salary calculator's large metro adjustment produces some of the highest national estimates for California cities. However, the state's high income tax bracket reduces after-tax output meaningfully — the calculator makes this transparent when you select California as your state of residence.

What Does a Data Scientist Earn in Florida?

Florida has no state income tax, which gives data scientists a significant after-tax advantage in the salary calculator. The tech scene in Miami and Tampa has expanded rapidly, with companies like Chewy, Magic Leap, and a growing number of fintech firms establishing offices. Job market size is mid-sized to large depending on the metro, and the calculator reflects this. Gross pay is somewhat lower than in California or New York, but the absence of state income tax narrows the after-tax gap considerably.

What Does a Data Scientist Earn in Texas?

Texas combines zero state income tax with several large metro areas — Austin, Dallas, Houston, and San Antonio — that have robust and growing tech sectors. Austin in particular has attracted major employers like Tesla, Oracle, and a slew of startups. The salary calculator applies the large metro factor for Dallas and Houston, and mid-sized metro for Austin depending on the definition, though Austin's tech density rivals larger markets. After-tax estimates in Texas are among the most favorable nationally due to the absence of state income tax.

What Does a Data Scientist Earn in Michigan?

Michigan's data science market is anchored by the automotive industry, with General Motors, Ford, and a network of autonomous vehicle companies (including Argo AI's legacy teams and May Mobility) based in the Detroit metro area. The salary calculator applies a moderate state income tax for Michigan and uses a mid-sized to large metro factor for Detroit. Salary ranges trend below coastal markets but are offset by a substantially lower cost of living.

What Does a Data Scientist Earn in Georgia?

Atlanta is the primary data science hub in Georgia, with employers spanning fintech (NCR Voyix, Fiserv), logistics (UPS, Home Depot's analytics team), and healthcare IT. The salary calculator applies a large metro adjustment for Atlanta and reflects Georgia's moderate state income tax. Data science compensation in Atlanta has risen sharply in recent years as more tech companies establish engineering offices in the city, making it one of the Southeast's strongest markets.

What Does a Data Scientist Earn in Ohio?

Ohio's data science opportunities concentrate in Columbus, Cleveland, and Cincinnati. Employers include Nationwide Insurance, JPMorgan Chase's Columbus operations, and healthcare systems like the Cleveland Clinic. The salary calculator reflects Ohio's moderate state income tax and applies mid-sized metro adjustments for most Ohio cities. Gross pay is lower than in top-tier tech markets, but the cost of living is among the lowest for metro areas with meaningful data science hiring.

What Does a Data Scientist Earn in North Carolina?

The Research Triangle (Raleigh-Durham-Chapel Hill) is North Carolina's primary data science market, home to SAS Institute, IBM's research campus, Cisco, and a thriving biotech corridor. Charlotte also contributes through its financial sector employers like Bank of America and Truist. The salary calculator applies a mid-sized to large metro factor depending on the city and reflects the state's moderate income tax. North Carolina offers a competitive cost-of-living ratio relative to salary levels.

What Does a Data Scientist Earn in Illinois?

Illinois means Chicago for data science purposes. The city has a dense market spanning finance (CME Group, Citadel, Morningstar), technology (Grubhub, Relativity), and healthcare analytics. The salary calculator applies a large metro adjustment and reflects Illinois's flat state income tax. Chicago's data scientist salaries are competitive with mid-to-upper-tier coastal markets, and the city's comparatively lower housing costs improve the after-tax purchasing power shown in the calculator.

What Does a Data Scientist Earn in Maryland?

Maryland benefits from proximity to Washington, DC, and the federal contracting ecosystem. Employers like Lockheed Martin, Northrop Grumman, the Johns Hopkins Applied Physics Laboratory, and the National Security Agency all hire data scientists in the Baltimore–Washington corridor. The salary calculator applies a large metro factor for this area and accounts for Maryland's relatively high state income tax. Many Maryland-based data science roles involve security clearances, which command a pay premium the calculator captures through the upper end of the experience range.

What Does a Data Scientist Earn in Indiana?

Indiana's data science market is smaller and centered on Indianapolis, with employers in healthcare (Eli Lilly, Anthem/Elevance Health) and motorsport analytics. The salary calculator applies a small to mid-sized metro adjustment and reflects Indiana's moderate flat state income tax. Salary ranges are below the national median, but Indiana's very low cost of living means after-tax purchasing power can be surprisingly competitive for mid-level and senior data scientists.

What Does a Data Scientist Earn in Virginia?

Northern Virginia is one of the country's hottest data science markets, driven by the federal government, defense contractors (Booz Allen Hamilton, Leidos, SAIC), and Amazon's HQ2 in Arlington. The salary calculator applies a large metro adjustment for the Northern Virginia / DC metro area and factors in Virginia's moderate state income tax. Data scientists with security clearances in this region see calculator outputs well above the national median.

What Does a Data Scientist Earn in Connecticut?

Connecticut's data science opportunities are concentrated in insurance and financial services, with companies like The Hartford, Travelers, and hedge funds in the Stamford–Greenwich corridor. The salary calculator reflects Connecticut's relatively high state income tax and applies a mid-sized metro factor for most Connecticut cities. Proximity to New York City means some Connecticut-based data scientists commute to NYC roles, and the calculator can model this by selecting either state for tax purposes.

What Does a Data Scientist Earn in New Jersey?

New Jersey has a substantial data science market in pharmaceuticals (Johnson & Johnson, Merck, Bristol-Myers Squibb) and financial services. The salary calculator applies a mid-sized to large metro adjustment depending on the area and accounts for New Jersey's high state income tax brackets. Like Connecticut, many New Jersey data scientists work for New York City–based employers, and the calculator lets you model the tax implications of your actual state of residence versus your employer's location.

What Does a Data Scientist Earn in Chicago?

Chicago's data science market is powered by quantitative finance firms like Citadel and Jump Trading, enterprise technology companies, and a growing startup scene. The salary calculator generates hourly estimates typically ranging from $55.00 to $82.00 for Chicago, reflecting large metro size and Illinois state taxes. The city's strong university pipeline (University of Chicago, Northwestern) ensures consistent talent supply, which keeps salaries competitive without reaching the extremes of San Francisco or New York.

What Does a Data Scientist Earn in Los Angeles?

Los Angeles hosts data science demand across entertainment (Netflix, Disney, Hulu), e-commerce (Snap, TikTok's US operations), and aerospace (SpaceX, Northrop Grumman). The calculator applies a large metro factor and California's high state income tax. Hourly ranges typically fall between $58.00 and $86.00. After-tax estimates are lower than similarly-gross markets in no-income-tax states, but the sheer volume of employers and diversity of industries make LA one of the deepest talent markets in the country.

What Does a Data Scientist Earn in New York City (NYC)?

New York City layers a city-level income tax on top of New York State's already high rates, making the after-tax calculator output lower than almost any other major metro at equivalent gross pay. However, gross salaries for NYC data scientists are among the highest nationally, with the calculator typically generating hourly estimates of $65.00 to $96.00. Employers include Wall Street banks, media companies (The New York Times, Bloomberg), and major tech offices (Google NYC, Meta NYC). The calculator's state tax module captures both the state and local tax impact when you select New York.

What Does a Data Scientist Earn in Houston?

Houston's data science demand comes primarily from the energy sector (ExxonMobil, Chevron, Baker Hughes), healthcare (MD Anderson Cancer Center, Memorial Hermann), and aerospace (NASA's Johnson Space Center). The salary calculator applies a large metro adjustment and benefits from Texas's zero state income tax. Hourly estimates typically range from $50.00 to $76.00, lower than coastal tech hubs but with strong after-tax outcomes that the calculator makes visible.

What Does a Data Scientist Earn in Phoenix?

Phoenix has emerged as a secondary tech market with growing data science demand from companies like Intel, American Express (which has a major campus in the area), and a wave of California transplants establishing satellite offices. The salary calculator applies a mid-sized to large metro adjustment and reflects Arizona's moderate state income tax. Hourly estimates generally range from $48.00 to $74.00, and the city's low cost of living amplifies purchasing power relative to salary level.

What Does a Data Scientist Earn in Atlanta?

Atlanta produces some of the strongest data science salary outcomes in the Southeast. The calculator reflects large metro demand driven by Home Depot's analytics team, Cox Enterprises, NCR Voyix, Delta Air Lines, and a rapidly expanding fintech cluster. Hourly estimates typically fall between $52.00 and $78.00, with Georgia's moderate state income tax producing after-tax results that compete favorably with higher-gross but higher-tax markets like New York or California.

What Does a Data Scientist Earn in San Diego?

San Diego's data science market is concentrated in biotech and pharmaceuticals (Illumina, Qualcomm's data-intensive operations, numerous genomics startups) and defense (General Atomics, SPAWAR/NAVWAR). The salary calculator applies a large metro factor and California state income tax. Hourly estimates generally range from $56.00 to $84.00. While not as extreme as San Francisco, San Diego offers strong gross pay, though after-tax estimates are moderated by California's tax structure.

What Does a Data Scientist Earn in Washington, DC?

Washington, DC, is a premier data science market for professionals interested in government, policy analytics, and defense. Employers include federal agencies, think tanks, and contractors like Booz Allen Hamilton, Palantir, and Deloitte's federal practice. The salary calculator applies a large metro adjustment. DC has its own income tax distinct from Virginia and Maryland, and the calculator lets you model whichever jurisdiction matches your residence. Hourly estimates range from $60.00 to $88.00, with security-cleared roles pushing toward the upper boundary.

What Does a Data Scientist Earn in Boston?

Boston's data science ecosystem is fueled by the concentration of universities (MIT, Harvard), biotech firms (Moderna, Vertex Pharmaceuticals), financial companies (Fidelity, State Street), and robotics startups. The salary calculator applies a large metro factor and Massachusetts state income tax. Hourly estimates typically range from $62.00 to $90.00, placing Boston among the top five US metros for data scientist compensation. The after-tax module helps contextualize these figures against the city's high cost of living.

What Does a Data Scientist Earn in Dallas?

Dallas combines a large metro market with Texas's zero state income tax, making it one of the most after-tax-favorable cities in the calculator for data scientists. Major employers include AT&T, Texas Instruments, Toyota's North American headquarters, and a growing number of financial services firms. Hourly estimates generally range from $52.00 to $79.00. While gross pay is below San Francisco or New York, the calculator's after-tax output often shows Dallas competing closely with those cities once taxes are removed.

What Does a Data Scientist Earn in Seattle?

Seattle produces some of the highest data scientist salaries in the country, driven by Amazon, Microsoft, and a dense ecosystem of AI-focused companies. Washington State has no state income tax, which the salary calculator reflects by producing after-tax estimates that are among the most favorable nationally for high earners. Hourly estimates range from $64.00 to $94.00. The combination of top-tier gross pay and zero state income tax makes Seattle consistently appear near the top of the calculator's after-tax rankings for data scientists.