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Data Scientist Finance Jobs (NOW HIRING)

Data Scientist (Product)

Manhattan, NY · On-site

$100 - $250/hr

Our vision: well... build the largest financial market on the planet. * Our mission: bring more ... At Kalshi, Data Scientists sit at the center of the company and are embedded across Product ...

Data Scientist

Washington, DC · On-site

$140 - $190/hr

Financial Crime Pattern Detection: Designing, developing, and deploying machine learning models and statistical algorithms to identify complex money laundering techniques - such as structuring ...

Data Scientist

Washington, DC

$52.88 - $57.69/hr

  • Medical

  • Retirement

... finance business data, in addition to traditional data science techniques. This position works to support the developer in the creation, maintenance, and improvement of products, primarily in the ...

Data Scientist

Boston, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Work with large data environments storing financial transactions or other critical data, including ...

Data Scientist

Nashville, TN · On-site

$60K/yr

Data Scientist Location : Hermitage, TN Wage : $60,000 Job Duties : * Data Acquisition, Cleaning ... Conduct exploratory data analysis to identify trends, outliers, and correlations within financial ...

Data Scientist (Locations available in: Warminster, PA, Hilliard, OH, Plymouth, MI, and Burnsville ... Finance Accountability: This Position Reports to the Senior Manager, Financial Planning & Analytics ...

NY · On-site

$90 - $120/hr

A degree in mathematics, statistics, financial engineering, machine learning, or computer science ... data analysis * Familiarity with high-frequency datasets, and the ability to work well in fast ...

NY · On-site

$80 - $120/hr

Working within the Finance function and partnering broadly across the organization, the role ... The Data Scientist collects and integrates operational and market data, identifies trends and ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have ... Background in commodity trading, energy markets, or financial services * Experience with big data ...

Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions * Apply statistical, machine ...

Data Scientist

Suwanee, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Senior Data Scientist

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Attain Finance, we bring over 50 years of expertise in providing credit solutions across the U.S ... As a Sr. Data Scientist, you will be working on generating insights from raw data, designing and ...

Data Scientist

Suwanee, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Data Scientist

Suwanee, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Data Scientist

Suwanee, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Data Scientist

Suwanee, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Data Scientist position is in the Logicpath division within Loomis ... We are a team of tech-savvy cash inventory management experts passionate about helping financial ...

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Work with large data environments storing financial transactions or other critical data, including ...

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Work with large data environments storing financial transactions or other critical data, including ...

Showing results 41-60

Data Scientist Finance information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist finance jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data scientist finance in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist finance?

A Data Scientist in Finance leverages data analysis, statistical modeling, and machine learning techniques to extract insights from financial data. They work on tasks like risk modeling, fraud detection, algorithmic trading, and customer analytics. Their role involves cleaning and processing large datasets, building predictive models, and providing data-driven recommendations to improve financial decision-making. Strong programming skills in Python or R, experience with databases, and knowledge of finance and economics are essential for success in this role.

What are the key skills and qualifications needed to thrive as a data scientist finance?

To thrive as a Data Scientist Finance, you need a strong background in statistics, data analysis, financial theory, and typically a degree in a quantitative field such as mathematics, finance, or computer science. Proficiency with programming languages like Python or R, expertise in data visualization tools, experience with SQL, and familiarity with machine learning libraries are highly valued, along with certifications such as CFA or FRM being advantageous. Excellent communication, problem-solving, and business acumen are crucial soft skills for conveying analytical insights and collaborating with cross-functional teams. These abilities are essential for delivering actionable financial insights that support strategic decision-making and drive business performance.

What are typical challenges faced by data scientists working in the finance sector?

Data Scientists in finance often work with large and complex datasets that require rigorous data cleaning and validation to ensure accuracy. They must also navigate strict regulatory requirements and data privacy rules, which can impact how data is processed and shared. Additionally, translating complex analytical models into actionable insights for stakeholders who may not have a technical background is a common challenge. Strong problem-solving skills, clear communication, and continuous learning are key to overcoming these hurdles and succeeding in the role.

What cities are hiring for Data Scientist Finance jobs?

Cities with the most Data Scientist Finance job openings:

What are the most commonly searched types of Data Scientist Finance jobs?

The most popular types of Data Scientist Finance jobs are:

What states have the most Data Scientist Finance jobs?

States with the most job openings for Data Scientist Finance jobs include:

What job categories do people searching Data Scientist Finance jobs look for?

The top searched job categories for Data Scientist Finance jobs are:

Infographic showing various Data Scientist Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (Product)

Unchain Data

Manhattan, NY • On-site

$100 - $250/hr

Other

Posted 10 days ago


Job description

What is Kalshi?

Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history, is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more.

We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position.

  • Our vision: well… build the largest financial market on the planet.
  • Our mission: bring more truth to the world through the power of markets.

Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.

Role Roadmap

We’re hiring an experienced Data Scientist to join our growing data team. At Kalshi, Data Scientists sit at the center of the company and are embedded across Product, Finance, Marketing, Platform, and more. You’ll combine analytical depth, technical skill, and business intuition to drive decisions, uncover opportunities, and influence product direction.

You’ll work on projects ranging from user-behavior insights to revenue optimization, experimentation, modeling, and building internal data tools that scale across the organization. This is a high-impact, cross-functional role based in our NYC office.

Our Stack: Python, SQL, DBT, Superset, Dagster, Hex, AWS, and distributed data systems for storage and computation.

What You’ll Do
  • Partner with cross-functional teams to define and measure key metrics, design experiments, and extract insights that guide strategy
  • Build analytical frameworks and models that support Product, Marketing, Platform, and Finance initiatives
  • Develop tools, datasets, and pipelines that make data more accessible and actionable across the company
  • Lead end-to-end data projects—from scoping the problem to delivering the solution
  • Champion data quality, reliability, and democratization throughout the organization
  • Work closely with Product, Engineering, Design, Research, Sales, Marketing, and Finance to drive measurable impact
What You Bring

Required:

  • 4+ years of experience in Analytics, Data Science, or a related field
  • Fluency in SQL and proficiency in Python or R
  • Experience with distributed data systems (Redshift, Snowflake, Presto, Hive, Spark, etc.)
  • Strong grounding in statistical methods, experimentation, and/or forecasting
  • Proven ability to work cross-functionally and clearly communicate with both technical and non-technical partners
  • Experience supporting Product, Marketing, Finance, or internal Platform/Tooling teams

Bonus Points:

  • Self-starter energy with the ability to thrive in fast-paced and ambiguous environments
NYC Pay Transparency Disclosure

Salary Range: $100,000–$250,000 annually, plus equity and benefits.
This range reflects current market data for this role. Kalshi has minimal hierarchy and broad variance in experience levels within each title; if your compensation expectations exceed this range, we encourage you to reach out — we’re always happy to discuss.

Our Culture

Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.

Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1.

Commitment to Equal Opportunity

Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our mission and values, we’d love to hear from you.

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