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Capital One Data Scientist Jobs in Indiana (NOW HIRING)

Cisco

Applied AI Scientist

Indianapolis, IN · On-site

Collaborate with engineering, product, and data science teams to understand requirements ... least one of the following areas: Large-scale graph representation learning and Graph Neural ...

Varsity Tutors

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Varsity Tutors

Data Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Varsity Tutors

Data Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Varsity Tutors

Data Science Tutor

West Lafayette, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

Varsity Tutors

Data Science Tutor

Indianapolis, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Ways To Connect With Students * 1-on-1 Online Tutoring - Provide personalized instruction to ...

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All JobsCapital One Data Scientist JobsCapital One Data Scientist Jobs in Indiana

Capital One Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do capital one data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for capital one data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What does a data scientist at Capital One do?

A Data Scientist at Capital One leverages data analysis, machine learning, and statistical modeling to solve business problems and drive innovation in financial products and services. They work with large datasets to uncover insights, build predictive models, and help teams make data-driven decisions. Projects often include fraud detection, credit risk modeling, and customer personalization. Collaboration with engineers, analysts, and business stakeholders is common to ensure solutions are scalable and practical.

How does a data scientist at Capital One typically collaborate with cross-functional teams to drive business outcomes?

Data Scientists at Capital One work closely with cross-functional teams such as product managers, engineers, and business analysts to identify opportunities for leveraging data-driven solutions. They participate in regular meetings to define project goals, share insights from data analysis, and translate complex findings into actionable recommendations. Collaboration is often facilitated through agile methodologies, ensuring that projects align with both technical feasibility and business objectives. This teamwork fosters a dynamic environment where data science directly impacts strategic decisions and customer experiences.

What are the key skills and qualifications needed to thrive as a Capital One data scientist, and why are they important?

To thrive as a Capital One Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and typically a degree in a quantitative field such as computer science, math, or engineering. Experience with programming languages like Python or R, data visualization tools, and familiarity with cloud platforms and big data systems are crucial. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you translate complex data insights into actionable business solutions. These skills and qualities are vital for driving data-driven decision-making and delivering impactful results within Capital One's fast-paced, innovative environment.

What are the most commonly searched types of Capital One Data Scientist jobs in Indiana?

The most popular types of Capital One Data Scientist jobs in Indiana are:

What are popular job titles related to Capital One Data Scientist jobs in Indiana?

For Capital One Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Capital One Data Scientist jobs in Indiana look for?

The top searched job categories for Capital One Data Scientist jobs in Indiana are:

What cities in Indiana are hiring for Capital One Data Scientist jobs?

Cities in Indiana with the most Capital One Data Scientist job openings:

Capital One Data Scientist jobs near you
Infographic showing various Capital One Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Muncie, IN • On-site

$125K/yr

Full-time

Posted 8 days ago

Key responsibilities

  • Identify and assess the validity and reliability of relevant data sources and retrieve structured and unstructured data for data science projects.

  • Clean, transform, combine, and integrate data from multiple sources to prepare data for analysis.

  • Apply data-mining process models and statistical methods to analyze data, evaluate results, and support program or business decisions.

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

311th of 855 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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