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Machine Learning Data Associate Jobs in Indianapolis, IN

STI

Data Analyst

Indianapolis, IN · On-site

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Experience in machine learning, predictive modeling, or statistical analysis. Knowledge of database ...

Munich Re

Principal Data Scientist - FCAS

Carmel, IN · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Familiarity with AI and machine learning concepts, including supervised and unsupervised learning ...

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... RDA > Research Data Please be advised that Elevance Health only accepts resumes for compensation ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · On-site

Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

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Machine Learning Data Associate information

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How much do machine learning data associate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for machine learning data associate in Indianapolis, IN is $17.91, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.09 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Indianapolis, IN are hiring for Machine Learning Data Associate jobs?

Cities near Indianapolis, IN with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $37,254 per year, or $17.9 per hour.

Advisor, Data Scientist - CMC Data Products

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.


Organizational & Position Overview:

TheBioproductResearch&Development(BR&D)organizationstrivestodelivercreative medicines topatients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues.

We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence.

Responsibilities:

Data Product Development:Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows.

Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD).

Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access.

AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A.

Cross-Functional Leadership:Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products.

Deliverables include:

  • Scalable data integration platform that automates compilation oftechnical-review-readyandsubmission-readydata packages with demonstrable quality assurance.

  • Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing

  • Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness

  • Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development

Basic Requirements:

  • PhD in Computer Science, Data Science, Machine Learning, Biomedical / Medical Informatics, Computational Biology, AI, or closely related STEM degree and 0-5 years of pharmaceutical industry experience; or

  • Master of Science in Computer Science, Data Science, Machine Learning, AI, Computational Biology, Biostatistics / Applied Statistics / Statistics, or closely related STEM degree and 5+ years of pharmaceutical industry experience.

  • Knowledge of modern data stack technologies(Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure).

  • Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains.

  • Proficiency with SQL, Python, and data visualization tools.

  • Experience withanalytical instrumentation and data systems(HPLC/UPLC, spectroscopy, particle characterization, process sensors).

  • Knowledge ofpharmaceutical manufacturing processes,including batch and continuous manufacturing, unit operations, and process control.

  • Expertise with data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data.

  • Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns.

Additional Preferences:

  • Understanding ofDesign of Experiments (DoE), Quality by Design (QbD), and process validation strategies.

  • Experience implementing data mesh architectures in scientific organizations.

  • Knowledge of MLOps practices and model deployment in validated environments.

  • Familiarity withregulatory submissions(eCTD, CTD) and how analytical data supports marketing applications.

  • Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.


Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).


Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is

$126,000 - $244,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876

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