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Azure Data Scientist Jobs in Indiana (NOW HIRING)

Collaborating with developers, analysts, and data scientists, you'll implement scalable ... Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred

Data Engineer

Indianapolis, IN · On-site +1

$102K - $123K/yr

Stay current with Microsoft Azure services, modern data engineering practices, and emerging technologies. Requirements Qualifications Required * Bachelor's degree in Computer Science, Information ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Senior Data Engineer will work closely with analytics, data science, and business stakeholders ... Azure Data Factory) · Experience with cloud platforms (Azure, AWS, or GCP) · Background in ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Senior Data Engineer will work closely with analytics, data science, and business stakeholders ... Airflow, Azure Data Factory) • Experience with cloud platforms (Azure, AWS, or GCP) • ...

Support Azure Data Factory pipelines and data integration processes. * Contribute to data ... Bachelor's degree in Computer Science, Information Systems, or a related field. * 2-4 years of ...

Support Azure Data Factory pipelines and data integration processes. * Contribute to data ... Bachelor's degree in Computer Science, Information Systems, or a related field. * 2-4 years of ...

Support Azure Data Factory pipelines and data integration processes. * Contribute to data ... Bachelor's degree in Computer Science, Information Systems, or a related field. * 2-4 years of ...

Support Azure Data Factory pipelines and data integration processes. * Contribute to data ... Bachelor's degree in Computer Science, Information Systems, or a related field. * 2-4 years of ...

Showing results 21-40

Azure Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do azure data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for azure data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is an Azure Data Scientist?

An Azure Data Scientist is responsible for designing, developing, and deploying machine learning models and AI solutions using Microsoft Azure's cloud services. They work with large datasets, utilize Azure Machine Learning, Databricks, and other Azure AI tools to extract insights and drive business decisions. Their role involves data preprocessing, feature engineering, model training, and performance optimization. Additionally, they collaborate with data engineers and analysts to integrate models into production environments and ensure scalability and reliability.

What does an Azure Data Scientist do?

As an Azure Data Scientist, your typical day involves working with large datasets hosted on Azure, building and training machine learning models using Azure Machine Learning, and collaborating with data engineers and business analysts. You will be responsible for cleaning and preprocessing data, selecting appropriate model architectures, monitoring model performance, and deploying solutions to production environments in the Azure cloud. Regular communication with stakeholders and team members is crucial to understand project goals and translate business problems into data-driven solutions. This role combines hands-on technical work with ongoing learning and cross-team collaboration in a dynamic, fast-paced environment.

What are the key skills and qualifications needed to thrive as an Azure Data Scientist?

To thrive as an Azure Data Scientist, you need strong skills in statistics, machine learning, and data analysis, often supported by a degree in computer science or a related field. Experience with Microsoft Azure cloud services, such as Azure Machine Learning and Data Factory, along with certifications like Azure Data Scientist Associate, are highly valuable. Effective communication, problem-solving, and collaboration are essential soft skills for working in cross-functional teams and presenting insights to stakeholders. These abilities ensure you can efficiently develop, deploy, and optimize data-driven solutions that meet business objectives in a cloud-based environment.

How much do Azure Data Scientists make?

Azure Data Scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and certifications. Professionals with advanced skills in machine learning, cloud platforms, and data analysis tools tend to command higher salaries.

What are the most commonly searched types of Azure Data Scientist jobs in Indiana?

The most popular types of Azure Data Scientist jobs in Indiana are:

What job categories do people searching Azure Data Scientist jobs in Indiana look for?

The top searched job categories for Azure Data Scientist jobs in Indiana are:

Infographic showing various Azure Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Associate Director - AI/ML Data Scientist

Indianapolis, IN • On-site

Scorpion Therapeutics
51 - 200 employees

$56K - $56K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


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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