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Ml Data Associate Jobs in Indiana (NOW HIRING)

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join us in building AI/ML models that truly drive business value and make a measurable impact.

Munich Re

Data Scientist

Fishers, IN · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join us in building AI/ML models that truly drive business value and make a measurable impact.

Munich RE

Data Scientist

Fishers, IN · On-site

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join us in building AI/ML models that truly drive business value and make a measurable impact.

Munich RE

Data Scientist

Indianapolis, IN · On-site

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join us in building AI/ML models that truly drive business value and make a measurable impact.

Deloitte

Lead Forward Deployed Engineer - AWS

Indianapolis, IN · On-site

$98K - $129K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Samtec

IT Co-Op- IUS

New Albany, IN · On-site

$14 - $18.50/hr

... for associates, providing assistance with hardware, software, and access-related issues. This ... AI/ML, data science, infrastructure systems, and software development meet key areas of ...

Samtec

IT Co-Op- IUS

New Albany, IN · On-site

$14 - $18.50/hr

... for associates, providing assistance with hardware, software, and access-related issues. This ... AI/ML, data science, infrastructure systems, and software development meet key areas of ...

Samtec, Inc Careers

IT Co-Op- IUS

New Albany, IN · On-site

$14 - $18.50/hr

... for associates, providing assistance with hardware, software, and access-related issues. This ... AI/ML, data science, infrastructure systems, and software development meet key areas of ...

samtec

IT Co-Op- IUS

New Albany, IN · On-site

$14 - $18.50/hr

... for associates, providing assistance with hardware, software, and access-related issues. This ... AI/ML, data science, infrastructure systems, and software development meet key areas of ...

Pwc

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Pwc

Data Strategy & Governance -Director

Indianapolis, IN · On-site

$155K - $410K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Indiana

Ml Data Associate information

See Indiana salary details

$54.7K

$64.7K

$122.8K

How much do ml data associate jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ml data 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.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

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

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Indiana?

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What job categories do people searching Ml Data Associate jobs in Indiana look for?

The top searched job categories for Ml Data Associate jobs in Indiana are:

What cities in Indiana are hiring for Ml Data Associate jobs?

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Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,743 per year, or $31.1 per hour.

Associate Director - AI/ML Data Scientist

Scorpion Therapeutics

Indianapolis, IN • On-site

$120 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Position Overview:

Senior Data Scientist to develop advanced analytics, machine learning, and AI that convert governed workforce data into actionable intelligence for Lilly's People Intelligence platform.

What You'll Be Doing:
  • - Design, validate, and operationalize statistical/ML/AI models for workforce use cases.
  • - Build predictive capabilities for attrition, talent risk, employee experience, hiring, mobility, skills, org health, and workforce planning.
  • - Use regression/classification/clustering/forecasting, causal inference, NLP, anomaly detection, and scenario modeling.
  • - Develop AI-enabled analytics (risk signals, probabilistic guidance, recommended follow-ups); create reusable AI skills/workflows/prompts.
  • - Build semantic models and make models AI-ready for Fabric; integrate into Fabric Data Agents, Power BI, MCP, and approved enterprise experiences.
  • - Establish governance/measurement: validation, monitoring, explainability, retraining/retirement; define performance thresholds; manage bias/fairness/privacy/unintended consequences; ensure reproducible methods.
  • - Advise HR leaders and product owners; translate findings into decision-oriented language; convert analyses into reusable models/metrics/products; coach others.
Key Deliverables:

Predictive/causal workforce models; governed semantic data models; generative AI text analytics (sentiment/theme extraction); model accuracy/testing frameworks; monitoring/governance standards; reusable ML pipelines/feature stores; scenario planning/workforce simulations; explainable AI outputs.

Basic Qualifications:
  • - BS in data science/statistics/ML or related.
  • - 4+ years Python proficiency; develop/validate/operationalize predictive models.
  • - 5+ years statistical inference, experimental design, model evaluation, data-quality assessment.
Strongly Preferred:
  • - Advanced degree (quantitative/behavioral) and/or AI certification.
  • - Large complex longitudinal datasets; executive communication.
  • - Workforce/people analytics; independent judgment with sensitive employee data.
  • - Microsoft Fabric/Spark/Power BI/Azure AI/Fabric Data Agents.
  • - NLP, generative AI/RAG, causal inference, organizational network analysis, workforce forecasting; responsible AI/privacy/governance familiarity.
Additional Information (Benefits):
  • - Eligible for company bonus (full-time equivalent).
  • - Comprehensive benefits: 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits (e.g., FSA), life insurance, time off/leave of absence, well-being benefits (e.g., EAP, fitness, employee clubs/activities).
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