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New Grad Data Scientist Jobs in Indiana (NOW HIRING)

Lilly

Data Scientist

Indianapolis, IN · On-site

Staying current with emerging techniques in machine learning, generative AI, and data science - evaluating new tools, frameworks, and approaches for applicability to the GRA/GSC/GSS portfolio and ...

My3Tech Inc

Data Scientist

Indianapolis, IN · On-site

Data Scientist Indianapolis, IN (Onsite) 12 months Contract with possibility to extension Works ... new data sources and data gathering techniques • Data Modeling (5-15%) o Translates business ...

USM

Data Scientist

Columbus, IN · On-site

I have an exciting new opportunity that I wanted to share with you and your network. Our client, is ... Data Scientist Location: Columbus, IN Duration: 9 weeks Primary Skills: this is a fixed fee project ...

Norstella

Senior Data Scientist

Indianapolis, IN · Remote

Senior Data Scientist Company: Norstella Location: Remote, United States Date Posted: May 11, 2026 ... Collaborate with product partners and other scientists to identify new opportunities to apply AI ...

Toptal

Job Summary We are looking for a Senior Data Scientist to join us as the first Data Scientist on a new product we are building. This is a founding role: you will shape the data science function from ...

Munich Re

AI Data Scientist

Carmel, IN · On-site +1

We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing ... Create and maintain modeling best practices and new techniques in coordination with internal and ...

Munich Re

AI Data Scientist

Indianapolis, IN · On-site +1

We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing ... Create and maintain modeling best practices and new techniques in coordination with internal and ...

The Hertz Corporation

Sr Data Scientist

Indianapolis, IN · On-site

$105K/yr

At Hertz, our senior data scientists are responsible developing and defining best practices for ... Analyze and define success and performance metrics for current and new business initiatives, with a ...

DEKKO INC

Data Scientist - Intern

Fort Wayne, IN · On-site

Data Scientist - Intern Location: Onsite - Fort Wayne, IN Reports To: Director of IT Why This Role ... Demonstrated initiative, curiosity, and willingness to learn new tools and techniques.

Dekko

Data Scientist - Intern

Fort Wayne, IN

Data Scientist - Intern Location: Onsite - Fort Wayne, IN Reports To: Director of IT Why This Role ... Demonstrated initiative, curiosity, and willingness to learn new tools and techniques.

Elanco

Senior Director-Data Science

Indianapolis, IN

Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic ... You will lead a high-performing team of data scientists and will collaborate with architects and ...

Circle

Sr. Data Scientist, Payments

Francisco, IN

$152.50K - $205K/yr

We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you'll be responsible for: As a Senior Data Scientist at Circle, you'll work closely with ...

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All JobsNew Grad Data Scientist JobsNew Grad Data Scientist Jobs in Indiana

New Grad Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do new grad data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for new grad 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 are the key skills and qualifications needed to thrive as a New Grad Data Scientist, and why are they important?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What are New Grad Data Scientists?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Indiana? For New Grad Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching New Grad Data Scientist jobs in Indiana look for? The top searched job categories for New Grad Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for New Grad Data Scientist jobs? Cities in Indiana with the most New Grad Data Scientist job openings:
New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist job openings in Indiana as of May 2026, with employment types broken down into 8% Full Time, and 92% Part Time. Highlights an 100% Physical job distribution, with an average salary of $116,793 per year, or $56.2 per hour.
Data Scientist

Data Scientist

Zimmerman Advertising

Indianapolis, IN • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities:

  • Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform
  • Using ML flow or similar application to create and serve up ML Models
  • Collaborate with cross-functional teams, including data scientists, product managers, data engineers, and software engineers, to design, develop and deploy machine learning models that meet business requirements.
  • Develop and maintain continuous integration and delivery pipelines for machine learning models, ensuring that they are tested, validated, and deployed in a consistent and reliable manner.
  • Perform data analysis and feature engineering to support machine learning model development.
  • Stay up to date with the latest advancements in machine learning and MLOps and evaluate new technologies that can improve our processes and models.
  • Provide mentorship and technical guidance to junior data scientists and machine learning engineers.
  • Leveraging open-source tools and building frameworks and components to improve and scale our Serving and ML platform

Requirements

  • Experience in both architecting and the hands-on implementation of infrastructure
  • Must have experience in the Media, Advertising or Marketing Industry
  • Can deploy ML model to a production cloud environment
  • Hands-on experience in GCP, Databricks or Apache Spark mandatory
  • Strong knowledge of ETL concepts and data processing workflows
  • Experience with ML libraries and predictive analytics
  • Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, or developing APIs.
  • Computer Science Degree or related field
  • 1 or more years of industry experience building scalable services and data driven platforms.
  • Experience with building ML infrastructure, writing production level code, & deploying Machine Learning models
  • Experience working on complex problems and systems where scalability and performance are very important
  • Strong problem solving and debugging skills. Entrepreneurial individuals who are passionate about AI ethics and causality

Required Skills

Required Experience

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