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Entry Level Data Scientist Finance Jobs (NOW HIRING)

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 ...

... finance leadership and business stakeholders to translate analytical results into actionable ... Data Science, etc.) • Experience with time series analysis and forecasting techniques • ...

Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or a comparable language) and ...

Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or a comparable language) and ...

Data Scientist

San Francisco, CA · On-site

$300K - $400K/yr

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... Work across product, engineering, data, marketing, and finance - one of the most cross-functional ...

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Fulltime Duration: 2 years Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree ... across various sectors such as finance, energy, e-commerce, logistics, travel, retail ...

... of Financial Administration (DFA), Branch of Financial Analysis and Performance (BFAP). DFA ... Mathematics, statistics, computer science, data science or field directly related to the position.

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

We build tech that makes it simple for small businesses to access the financial tools they need ... The Data Science TeamOur Impact Data is core to Parafin's mission to grow small businesses. Our ...

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

We build tech that makes it simple for small businesses to access the financial tools they need ... The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ...

Collaborate with business units (e.g., operations, marketing, finance) to identify opportunities ... Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field ...

Data Scientist

Brooklyn, NY · On-site

$100K - $132K/yr

This Data Science role will report to our Data Science manager who leads Data Science for Amplify's Sales, Marketing and Finance departments. As such, they will be empowered to innovate and ...

First Data Scientist hire in the US - set the bar, shape the function, and build the foundation of ... Work across product, engineering, data, marketing, and finance - one of the most cross-functional ...

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Entry Level Data Scientist Finance information

See salary details

$37.5K

$122.7K

$196.5K

How much do entry level data scientist finance jobs pay per year?

As of Jun 13, 2026, the average yearly pay for entry level 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 the difference between Entry Level Data Scientist Finance vs Entry Level Data Analyst Finance?

AspectEntry Level Data Scientist FinanceEntry Level Data Analyst Finance
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer Python, R, SQL skillsBachelor's in Finance, Economics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentData teams, analytics departments, or finance divisions within banks, investment firms, or corporationsFinancial institutions, consulting firms, or corporate finance departments
Employer & Industry UsageUsed in financial modeling, risk analysis, and predictive analyticsUsed in reporting, trend analysis, and operational insights

Entry Level Data Scientist Finance focuses on advanced analytics, machine learning, and programming skills, while Entry Level Data Analyst Finance emphasizes data reporting, visualization, and basic analysis. Both roles are essential in finance but differ in technical complexity and focus areas.

More about Entry Level Data Scientist Finance jobs
What cities are hiring for Entry Level Data Scientist Finance jobs? Cities with the most Entry Level 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 Entry Level Data Scientist Finance jobs? States with the most job openings for Entry Level Data Scientist Finance jobs include:
Infographic showing various Entry Level Data Scientist Finance job openings in the United States as of June 2026, with employment types broken down into 39% Full Time, and 61% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Sterling Computers Corporation

North Sioux City, SD • On-site

Full-time

Posted yesterday


Job description

Title: Data Scientist

Reports to: Director of Product and Business Development

Location: North Sioux City, SD, Other Sterling Locations

Job Description: Sterling is seeking a highly skilled and motivated Data Scientist to join our growing team. In this role, you will be instrumental in developing and implementing advanced data solutions that enhance our operational and financial reporting capabilities. You will work on internal data science projects, build sophisticated data products, and provide data-driven insights to support our sales teams. Additionally, you will play a key role in our nascent generative AI initiatives, exploring and applying cutting-edge techniques to unlock new possibilities.

Primary Responsibilities

  • Design, develop, and deploy complex data products and models to improve operational efficiency and financial reporting accuracy.
  • Collaborate with cross-functional teams, including operations, finance, and sales, to understand business needs and translate them into data science solutions.
  • Perform in-depth data analysis to identify trends, patterns, and insights that can drive business improvements and inform strategic decisions.
  • Develop and maintain robust data pipelines and integrate various data sources to ensure data quality and accessibility.
  • Support sales teams by providing analytical tools, predictive models, and custom reports that enhance sales performance and customer understanding.
  • Participate in the research, experimentation, and implementation of generative AI models and applications, contributing to the company's innovative efforts.
  • Communicate complex analytical findings and recommendations clearly and effectively to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

Qualifications

  • Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. A Ph.D. is excellent.
  • Strong proficiency in Python is extremely important, including experience with libraries such as pandas, scikit-learn, and PyTorch.
  • Solid understanding and experience with data modeling principles.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Databricks.
  • Ability to work alongside data engineers including building and maintaining data pipelines.
  • Proven ability to work effectively alongside data analysts and data engineers, fostering a collaborative environment.
  • Must enjoy working with both technical and non-technical coworkers to understand their problems and collaboratively create innovative data solutions.
  • Demonstrates boundless curiosity and creativity in approaching data challenges.

Preferred Experience:

  • Experience with agentic AI concepts or applications.
  • UI prototyping capabilities, particularly with tools like Streamlit.
  • R programming experience.


Sterling Computers Corporation (“Sterling”) is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.