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Data Science Associate Jobs in Indiana (NOW HIRING)

IQVIA

Associate Scientist/Scientist - ADME

Indianapolis, IN · On-site

$51K - $108K/yr

We are seeking a Scientist/Associate Scientist - ADME to join IQVIA Laboratories at Indianapolis ... Generate high-quality data and documentation that meet turnaround time expectations and regulatory ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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$54.7K

$64.7K

$122.8K

How much do data science associate jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science associate in Indiana is $64,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Indiana? The most popular types of Data Science jobs in Indiana are:
What are popular job titles related to Data Science Associate jobs in Indiana? For Data Science Associate jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Indiana look for? The top searched job categories for Data Science Associate jobs in Indiana are:
Data Science Associate jobs near you
Teaching Professor in Computer Science

Teaching Professor in Computer Science

Purdue University

West Lafayette, IN • On-site

Full-time

Posted 2 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

263rd of 537 rated colleges and universities

Job description

Req Id: 38740
Job Title: Teaching Professor in Computer Science
City: West Lafayette
Job Description:
Job Summary
Job Summary
The Department of Computer Science in the Colleges of Science and Engineering at Purdue University solicits applications for multiple Teaching Faculty positions for the West Lafayette campus at the Assistant or Associate Professor level. Teaching Faculty participate in departmental, college, and university-level activities and have professional development opportunities. Teaching, scholarship (including mentoring and advising), and service are expected from our Teaching Faculty, as stated in our policy manual The positions are non-tenure track faculty positions.
Qualifications
Applicants must hold a PhD in computer science or a related field. Applicants must have a history of teaching and have mastery of subject matter sufficient to teach a range of courses in the Computer Science undergraduate curriculum. This includes traditional instruction (lecture courses, lab courses), management of multiple teams of teaching assistants, development of course content, participation in course and curriculum development, interaction with students and student teams, and delivery of online courses. Instructional areas of particular interest are first and second programming courses for majors, mathematical foundations of computer science, and systems programming.
Job Family
The Department of Computer Science is part of the College of Science and the College of Engineering. Purdue is one of the nation's leading land-grant universities, with an enrollment of over 50,000 students, primarily majoring in STEM subjects, and ranks among the top 10 public universities.
In 2023, Purdue University launched a major initiative, Purdue Computes
https://www.purdue.edu/computes/, consisting of three dimensions (Computing, Physical Artificial Intelligence, and Semiconductors) that will connect faculty and students from across the institution and enable the university to advance to the forefront with unparalleled excellence at scale. As part of this initiative, Computing will add 50 new faculty in the five years starting from 2023. Purdue Computes imparts a stimulating academic environment with active research programs in most areas of computing. The Department of Computer Science offers undergraduate programs in Computer Science, Data Science, and Artificial Intelligence, as well as graduate MS and PhD programs. Opportunities for collaboration exist across the university; faculty collaborate with every college in the university.
Job Sub Family
The Department of Computer Science has a robust instructional staff and IT staff support team for its growing body of teaching faculty. Our highly ranked undergraduate and graduate programs consistently attract driven and enthusiastic students. The department currently enrolls over 3500 undergraduates and over 500 graduate students. With CS students averaging scores of 33.4 and 1476 on their ACT and SATs, faculty can interact with many persistent and focused students while working in a space known for its innovative academic environment, fostering a collaborative and enriching experience for educators and students alike.
The Computer Science department also has computer science and artificial intelligence majors at https://www.purdue.edu/campuses/indianapolis/ This new urban campus extends Purdue's mission and impact with a first-of-its-kind Hard-Tech Corridor, stretching between Indianapolis and our flagship West Lafayette campus. We're building the future by linking industry to our world-class educators, researchers and students. For more information, see https://www.cs.purdue.edu.
Apply now to submit your application material (cover letter, CV, teaching statement, and optional research statement). The teaching statement should include previous teaching experiences and highlight undergraduate courses in the CS, DS, and AI majors interested in teaching. Information about courses and degree requirements are here.
Application review will begin November 1, 2025, and continue until positions are filled. A background check is required for employment in this position.
Inquiries may be sent to pop-search@cs.purdue.edu
Purdue University is an equal opportunity/equal access university.

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