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New Grad Data Scientist Jobs in Indiana (NOW HIRING)

Collaborate with engineering, product, and data science teams to understand requirements ... Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ...

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 ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

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 ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

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 ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

New Grad or Fall 2023 grad nurses: Apply for consideration for ALL RN positions. HR will reach out ... Bachelor of Science in Nursing (BSN). SKILLS / KNOWLEDGE / ABILITIES: * Mathematical calculations ...

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Showing results 1-20

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 Jul 15, 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 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 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 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 cities in Indiana are hiring for New Grad Data Scientist jobs? Cities in Indiana with the most New Grad Data Scientist job openings:
Infographic showing various New Grad Data Scientist job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.
Data Science Associate

Data Science Associate

University of Notre Dame

Notre Dame, IN • On-site

$57K - $58K/yr

Full-time

Posted 21 days ago


University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

301st of 555 rated colleges and universities


Job description

Company Description

The University of Notre Dame is more than a workplace; it is a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

Notre Dame Athletics develops and challenges each student-athlete to pursue excellence and serve as a force for good in the world. Our vision is to lead collegiate athletics by defining the integrated student-athlete experience and forming champions. To do this, we are eager to attract, recruit, develop and retain individuals who positively contribute to a collaborative, connected culture where all may thrive.

As a prospective member of Notre Dame Athletics, we invite you to apply if you have a shared purpose for our distinctly integrated student-athlete experience, an unrivaled passion for people who propel a dynamic and high performing organization, and a proven record of success in your field.

The Data Science Associate will work at the intersection of data engineering and analytics, contributing to data processing, cleaning, and analysis in an agile manner across all domains of revenue efforts, with an emphasis on revenue generation, ticketing, marketing, content and partnerships. This role will leverage data engineering and analytical expertise to ensure data-driven decision-making across the Notre Dame Athletics revenue and business areas. Responsibilities include diagnosing system issues, refining code, and conducting functional testing to resolve application production challenges.

The Associate will collaborate closely with the Senior Associate AD for Revenue, Partnerships & Marketing and their team, the Back-End Database Engineer, Data Analytics Associate, and other functional area leaders to ensure seamless integration and functionality of data-driven revenue generation and business intelligence solutions.

Responsibilities & Duties.

  • Collaborate with the Back-End Database Engineer to seamlessly integrate data-driven solutions into existing and new systems, while partnering with revenue, ticketing, marketing, content and partnership staffs to ensure analytics tools align with and adapt to the evolving needs of Notre Dame Athletics.
  • Design, build, and maintain reliable data pipelines that support revenue, ticketing, marketing, content and partnership analytics. 
  • Aligned with departmental best practices, implement and maintain data quality checks, logging, and monitoring to ensure accuracy and reliability of revenue-related datasets. 
  • Issue optimized queries for use in stakeholder-facing tools like dashboards and other reporting mediums. Develop insights and build tools to address current and new revenue generating opportunities, enhance data accessibility, and support the revenue and external affairs teams. 
  • Apply analytical expertise and programming skills to interpret and visualize data across all departmental needs of revenue-focused efforts (e.g., ticketing, partnerships, marketing, digital, fan experience, etc.). 
  • Partner with functional leaders to shape metrics, definitions, and data models that drive actionable decision- making. 
  • Facilitate internal research projects that contribute to novel and innovative revenue growth. 
  • Other duties as assigned
Qualifications
  • Education Qualifications: Bachelor's degree (4 years)
  • At least 3 years of professional experience
  • Degree Qualifications: Bachelor's degree in a data science related field; graduate-level training preferred.
  • Skill Qualifications:
    • Highly proficient with multiple data systems and experience in a variety of programming languages (Java, SQL, Python).
    • Proven experience with data in various forms (such as relational SQL, NoSQL, JSON, unstructured data environments).
    • Knowledge and skills required to formulate and pursue impactful questions regarding revenue generation, ticketing, marketing, CPM, CRM and partnerships.
    • Strong organizational skills, intellectual curiosity, stress tolerance, ability to handle uncertainty, and persistent desire to start and complete projects.
    • Exceptional verbal and written communication skills with the ability to dynamically adapt messaging to a diverse group of stakeholders.
    • Broad understanding of / and interest in sports business; Nights and weekends required at times.
Additional Information
  • Deadline to Apply (subject to change): Sunday, July 12th
  • Salary: up to 85K, commensurate with experience

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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