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Applied Data Science Jobs in Indiana (NOW HIRING)

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Monitor model performance over time and iterate as needed Requirements Required Qualifications * 3-5 years of data science / applied statistics / machine learning experience specifically within the ...

RADcube - A NLogix Company

Data Scientist

Indianapolis, IN · On-site

$110 - $160/hr

Monitor model performance over time and iterate as needed Requirements Required Qualifications * 3-5 years of data science / applied statistics / machine learning experience specifically within the ...

New

Garrettgp

Data Scientist - JETARS

Fort Wayne, IN · On-site

$110 - $150/hr

Bachelor's degree or higher in data science, computer science, statistics, applied mathematics, applied physics, data analytics, or an equivalent field. * Minimum of 7+ years of combined experience ...

New

USfalcon

Data Scientist, Craftsman

Fort Wayne, IN · On-site

$120 - $180/hr

Bachelor's degree in data science, computer science, statistics, applied mathematics, applied physics, data analytics, or an equivalent field. REQUIRED CLEARANCE: Top Secret/SCI TRAVEL: TBD Benefits ...

New

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

... or applied data science. * Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments. * Demonstrated experience with LLMs, MLOps pipelines ...

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

... or applied data science. * Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments. * Demonstrated experience with LLMs, MLOps pipelines ...

FlixBus

Senior Data Scientist (m/f/d)

Warsaw, IN · On-site

$120 - $180/hr

Holds a Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or a related quantitative field * Brings 5+ years of experience in a data science or quantitative research role ...

Cisco

Applied AI Scientist

Indianapolis, IN

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

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Applied Data Science information

See Indiana salary details

$24.4K

$138K

$210K

How much do applied data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for applied data science in Indiana is $138,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,461.00 and $171,550.00 per year, depending on experience, location, and employer.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What are popular job titles related to Applied Data Science jobs in Indiana?

For Applied Data Science jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Applied Data Science jobs in Indiana look for?

The top searched job categories for Applied Data Science jobs in Indiana are:

What cities in Indiana are hiring for Applied Data Science jobs?

Cities in Indiana with the most Applied Data Science job openings:

Applied Data Science jobs near you
Infographic showing various Applied Data Science 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 $138,036 per year, or $66.4 per hour.

Data Scientist

Indianapolis, IN • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$110 - $170/hr

Other

Posted 20 days ago

Job description

Data Scientist

Hybrid – Indianapolis, IN

About the Role

We are seeking a Data Scientist with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame problems, build models and analyses that answer them, and communicate results in terms that drive pharma business decisions.

Key Responsibilities
  • Develop statistical models, machine learning models, and advanced analyses using large-scale datasets in Databricks
  • Access, prepare, and engineer features from data processed through Apache Spark and AWS data services
  • Partner with business groups to understand pharma-specific problems and translate them into data science approaches
  • Build and validate ETL/data pipelines as needed to support modeling and experimentation workflows
  • Communicate modeling results, insights, and recommendations clearly to both technical and non-technical business stakeholders
  • Apply pharma domain knowledge to ensure models and analyses are relevant and interpretable in a business context
  • Collaborate with data engineers and analysts to productionize models and integrate outputs into reporting/decision workflows
  • Monitor model performance over time and iterate as needed
Requirements Required Qualifications
  • 3-5 years of data science / applied statistics / machine learning experience specifically within the pharma industry
  • Hands‑on experience with Databricks for data science/ML workflows
  • Working knowledge of AWS data services
  • Strong experience with Big Data processing using Apache Spark, PySpark.
  • Experience building ETL pipelines to support data science workflows
  • Strong Python and SQL skills; experience with ML libraries
  • Demonstrated ability to understand pharma business needs and speak to pharma business groups
  • Strong communication skills with demonstrated ability to present technical findings to business stakeholders
  • Bachelor's or master's degree in data science, Statistics, Computer Science, or a related quantitative field
Preferred Qualifications
  • Experience with Delta Lake, Snowflake, or similar modern data platforms
  • Familiarity with MLOps practices and model deployment/monitoring
  • Prior experience supporting pharma commercial, clinical, or R&D data science functions
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