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Data Science Associate Jobs in Indiana (NOW HIRING)

Deloitte

AI Solutions Architect

Indianapolis, IN

$60.25 - $79.25/hr

... Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation ...

Lilly

Associate Director Data and Systems QA

Lebanon, IN · On-site

$123K - $180K/yr

Previous experience in QA, QC Science/Engineering or Computer Science and Technology * Prior work with cGMPs, external regulations and inspections * Strong knowledge of Computer System Validation ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Associate's degree in Information Technology, Computer Science, or a related field, or equivalent ...

Brotherhood Mutual

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Data Engineer II FLSA Status: Exempt Job Family: IT - Business Intelligence Department: IT - Busin ... Associate's degree in Information Technology, Computer Science, or a related field, or equivalent ...

IQVIA

Associate Scientist-In Vitro ADME

Indianapolis, IN · On-site

$43K - $89K/yr

We are seeking Associate Scientist-In Vitro ADME to join IQVIA Laboratories at Indiana. We hire ... Support data analysis, basic calculations, and preparation of results for review and upload into ...

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Data Science Associate information

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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

Postdoctoral Researcher

Indiana University Academic Positions

Bloomington, IN

$1/hr

Other

Posted 7 days ago

Job description

Position Details
Title Postdoctoral Researcher Appointment Status Non-Tenure Track Department IU Bloomington Psychological & Brain Sciences Location Bloomington Position Summary
Postdoctoral Researcher 
Study of Affective Disorders' Classification and Treatment (SADCAT) Lab  
Dr. Lorenzo-Lorenzo Luaces
Department of Psychological and Brain Sciences at Indiana University Bloomington
 
Overview: 
The SADCAT Lab (PI: Lorenzo Lorenzo-Luaces) at Indiana University Bloomington (IUB) is an interdisciplinary research lab dedicated to advancing our understanding of internalizing disorders-particularly depression and anxiety-and improving their treatment through data-driven, empirically grounded approaches. We are interested in the intersection of technology, mental health, and data science in clinical psychology. The lab is currently supported by an R01 Research Project Grant from the National Institutes of Health (NIH; PIs Lorenzo-Luaces & Bollen), investigating the impact of social media on adolescent mental health. This project aims to clarify the bidirectional relationship between social media use and internalizing symptoms in a longitudinal sample of 1,000 adolescents.
 
Essential Duties
The postdoctoral researcher will contribute to ongoing projects examining internalizing disorders, technology, cognitive-behavioral therapies (CBTs), and the personalization of treatment. The main project focuses on adolescents (ages 13-20) and employs a longitudinal design, passive data collections, and ecological momentary assessments (EMA) to capture the dynamic nature of symptoms. The position involves engaging with multi-level datasets and contributing to statistical analyses. The researcher may also contribute to manuscript preparation and help develop new studies that extend the lab's mission of using data science to advance clinical psychology and improve mental health outcomes.
 
Qualifications 
         Candidates with either (A) a Ph.D. in clinical psychology or a related field (e.g., developmental) OR (B) a PhD in informatics or a related discipline (e.g., computer science)
         Ideal candidates will have EITHER, both are not required 
o   Experience recruiting and retaining adolescents in longitudinal research 
o   Experience analyzing intensive longitudinal data (e.g., EMA)
 
The anticipated start date is Fall 2026. Start date is negotiable. Interested individuals should apply at https://indiana.peopleadmin.com/postings/32132 by submitting their CV, a statement of research interests, and contact information for at least 2 references.
 
Salary for this position is based on the NIH postdoctoral salary guidelines, with a starting salary of $62,232, commensurate with experience. Applications received by April 15, 2026 will receive full consideration; however, the search will remain open until a suitable candidate is found. Please contact Jalyn Medley at jalymedl@iu.edu if you have any questions.
Basic Qualifications
  • Candidates with either (A) a Ph.D. in clinical psychology or a related field (e.g., developmental) OR (B) a PhD in informatics or a related discipline (e.g., computer science
  • Experience recruiting and retaining adolescents in longitudinal research
  • Experience analyzing intensive longitudinal data (e.g., EMA)
Department Contact for Questions
Jalyn Medley at jalymedl@iu.edu
Additional Qualifications Salary and Rank Special Instructions For Best Consideration Date 04/15/2026 Expected Start Date 08/01/2026 Posting Number IU-101485-2026

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