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Hourly Data Scientist Jobs in Indiana (NOW HIRING)

Data Scientist Engineer

Warsaw, IN ยท On-site

$110 - $160/hr

We are looking for a Data Science Engineer to design and implement the decision-making logic of our Price Optimizer. You will focus on translating complex business rules into mathematical models and ...

New

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Sr. Data Scientist

Indianapolis, IN ยท On-site

$80 - $88/hr

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into ...

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... salary/hourly rate range based on your location. Factors used to determine the actual salary ...

Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to ... hourly rate listed for this position is provided as a good-faith estimate of what the company ...

Data Engineer

Woodburn, IN

$102K - $123K/yr

Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience. This can include internship, Co-op ...

Data Engineer

Woodburn, IN ยท On-site

$102K - $123K/yr

Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience. This can include internship, Co-op ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

TSMG Holding is currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Showing results 21-40

Hourly Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do hourly data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for hourly 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 skills and qualifications are needed to thrive as an hourly data scientist?

To thrive as an Hourly Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, usually supported by a degree in a STEM field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms is typically required. Excellent problem-solving, time management, and communication skills help hourly data scientists deliver impactful insights efficiently. These abilities are essential for providing high-quality, actionable solutions within time constraints in a flexible or contract-based work environment.

How does the structure of hourly work impact collaboration and project involvement for data scientists?

As an hourly data scientist, you may be assigned to specific projects or tasks based on immediate business needs, which can mean working with different teams on a rotating basis. This structure offers flexibility and exposure to a variety of datasets and problems, but it can also present challenges in building long-term relationships or seeing projects through from start to finish. To succeed, it's important to communicate proactively, quickly adapt to new team dynamics, and document your work thoroughly for smooth handoffs. Many organizations use collaborative tools and regular check-ins to ensure hourly team members remain integrated and informed.

What is an hourly data scientist?

Hourly data scientists are professionals who analyze and interpret complex data to help organizations make data-driven decisions, but they are paid on an hourly basis rather than receiving a fixed salary. Their tasks can include building predictive models, managing and cleaning data, and communicating findings to stakeholders. Hiring data scientists on an hourly basis allows businesses to access specialized expertise for specific projects or short-term needs without committing to a full-time hire.

What is the difference between Hourly Data Scientist vs Data Analyst?

AspectHourly Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentProject-based, consulting, or freelance settings; tech companies, finance, healthcareCorporate offices, research firms, marketing agencies
Employer & Industry UsageTech firms, startups, consulting agenciesBusiness, marketing, finance, healthcare
Common Search & ComparisonHourly Data Scientist vs Data Analyst

Hourly Data Scientists and Data Analysts often share similar educational backgrounds and work environments. However, Data Scientists typically handle more complex modeling, machine learning, and predictive analytics, while Data Analysts focus on data visualization, reporting, and descriptive analysis. The hourly rate for Data Scientists is generally higher due to the advanced skills required. Both roles are vital in data-driven industries, but their scope and responsibilities differ significantly.

What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Hourly Data Scientist jobs? Cities in Indiana with the most Hourly Data Scientist job openings:
Infographic showing various Hourly Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Data Scientist Engineer

Fetcherr Ltd

Warsaw, IN โ€ข On-site

$110 - $160/hr

Other

Posted 3 days ago

New


Job description

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate,granular demand predictions with 96% forecast accuracy and real-time decisionintelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.

We are looking for aData Science Engineerto design and implement the decision-making logic of our Price Optimizer. You will focus on translating complex business rules into mathematical models and production-ready Python code.

Your primary mission is to build the "brain" of our system. You will work at the intersection of Data Science and Product, ensuring our simulation and optimization engines accurately reflect real-world pricing strategies and market dynamics. While you will write production code, you will rely on our Data Engineers for ETL pipelines orchestration and distributed compute scaling.

Responsibilities:
  • Implement Business Logic: Translate intricate pricing rules and commercial strategies into robust Python code and mathematical constraints.
  • Refine Optimization Models: Develop and tune the simulation and revenue management algorithms that drive our pricing recommendations.
  • Write Clean Code: Contribute high-quality, tested, and maintainable code to the core logic repositories.
  • Analyze & Improve: Use data to validate model behavior and identify edge cases where business rules clash with algorithmic outputs.
  • Collaborate: Partner with Solution Architects to define logic requirements and with Data Engineers to integrate your models into the Dagster pipelines.
Requirements

You'll be a great fit if you have...

  • 3+ years of experience in Data Science or Algorithmic Development with Python.
  • Proven ability to translate complex business requirements into code and logical rules.
  • Strong background in Mathematical Optimization, Simulation, or Logic Programming.
  • Fluency in the PyData stack (Pandas, NumPy, SciPy) and SQL
  • Experience writing production-quality code (not just notebooks) - you understand modular design and unit testing.
  • Familiarity with orchestration frameworks like Dagster or Airflow (from a user/logic perspective).
  • BSc/MSc in Mathematics/ physics/ statistics/ Computer Science.
Nice to Have:
  • Experience in Revenue Management, Air Travel, or Logistics domains.
  • Understanding of Derivative-Free Optimization.
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