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Senior Machine Learning Scientist Jobs in Indiana

Munich Re

Data Scientist

Fishers, IN · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to ... Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ...

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Data Scientist Hybrid - Indianapolis, IN About the Role We are seeking a Data Scientist with 3-5 ... Develop statistical models, machine learning models, and advanced analyses using large-scale ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · On-site

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to ... Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Develop machine learning models with spatial components (clustering, classification, interpolation ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location ... Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ...

United States Digital Space LLC

Data Scientist

Warsaw, IN · On-site

$85.37 - $96.85/hr

Data Scientist The Data Science team helps us fulfill our mission by informing strategy, defining ... machine learning techniques, and data storytelling. We understand our company's goals and ...

Pwc

CTIO - AI Engineer- Senior Manager

Indianapolis, IN · On-site

$91K - $321K/yr

As a Senior Manager, you will utilize your skills and professional network to deliver quality ... science algorithms and workflows - Utilizing machine learning and deep learning techniques ...

Varsity Tutors

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Indianapolis, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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All JobsMachine Learning Scientist JobsSenior Machine Learning Scientist JobsSenior Machine Learning Scientist Jobs in Indiana

Senior Machine Learning Scientist information

See Indiana salary details

$63.3K

$105.2K

$156.5K

How much do senior machine learning scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for senior machine learning scientist in Indiana is $105,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $118,900.00 per year, depending on experience, location, and employer.

What is a senior machine learning scientist?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

What are the key skills and qualifications needed to thrive as a senior machine learning scientist?

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges senior machine learning scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.

What is the difference between Senior Machine Learning Scientist vs Data Scientist?

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

Is a senior machine learning scientist a high paying job?

A senior machine learning scientist typically earns a high salary due to advanced skills in data analysis, programming, and model development, often exceeding average tech industry wages. Compensation varies by industry, location, and experience, but it generally reflects the specialized expertise required for the role.

What are the most commonly searched types of Machine Learning Scientist jobs in Indiana?

The most popular types of Machine Learning Scientist jobs in Indiana are:

What are popular job titles related to Senior Machine Learning Scientist jobs in Indiana?

For Senior Machine Learning Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Scientist jobs in Indiana look for?

The top searched job categories for Senior Machine Learning Scientist jobs in Indiana are:

What cities in Indiana are hiring for Senior Machine Learning Scientist jobs?

Cities in Indiana with the most Senior Machine Learning Scientist job openings:

Senior Machine Learning Scientist jobs near you
Infographic showing various Senior Machine Learning Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,190 per year, or $50.6 per hour.

Data Scientist with Data Bricks Lakehouse contract C2C requirements

Tech Mirrors

Indianapolis, IN • On-site

$90 - $120/hr

Other

Posted 18 days ago

Job description

Position: Data Scientist with Data Bricks Lakehouse

Location: Indianapolis, IN (Onsite)

Duration: 8+ months

Description:

We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.

Key ResponsibilitiesData Science & Machine Learning
  • Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
  • Implement end-to-end ML pipelines (data ingestion→training→deployment→monitoring).
  • Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.
Databricks & Lakehouse Architecture
  • Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
  • Optimize Spark jobs for performance and cost efficiency.
  • Apply best practices for data governance, lineage, and security.
Genie (AI/BI & Natural Language Analytics)
  • Configure and enable Databricks Genie for self-service analytics.
  • Design semantic layers and curated datasets optimized for natural language queries.
  • Partner with business stakeholders to translate questions into Genie-enabled insights.
Business Enablement & Collaboration
  • Work closely with product owners, analysts, and business leaders to identify high-value use cases.
  • Communicate complex analytical results in a clear, business-friendly manner.
Required Qualifications
  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering, or a related field.
  • 4+ years of experience in data science or advanced analytics.
  • Hands‑on experience with Databricks and Apache Spark.
  • Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
  • Experience building and deploying ML models in production.
  • Solid understanding of SQL and data modeling.
  • Experience with MLflow, model lifecycle management, and experimentation.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.

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