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Applied Data Science Jobs in Indiana (NOW HIRING)

Onebridge

Snowflake Architect

Indianapolis, IN

$61 - $78.50/hr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not ...

Onebridge

Snowflake Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not ...

Onebridge

Snowflake Architect

Indianapolis, IN

$61 - $78.50/hr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not ...

Amgen

$85K - $116K/yr

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... PhD in in Computational Sciences, Computational Biology, Applied Math,Statisticsor related ...

Align Technology, Inc.

$195K/yr

From Data to Clinical Diagnostics and Treatment Plans: Leveraging your DL models, LLMs and all our ... D. in Computer Science, Machine Learning, Applied Mathematics, Computer Vision, or a closely ...

Purdue University

Student - Beekeeping

Hammond, IN

$14.75 - $18.50/hr

... applied experience related to agriculture, biology, environmental science, entomology ... Collect, record, and organize basic apiary data for research projects, coursework, or extension ...

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All JobsApplied Data Science JobsApplied Data Science Jobs in Indiana

Applied Data Science information

See Indiana salary details

$24.4K

$138K

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How much do applied data science jobs pay per year?

As of Jun 23, 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 are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

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 is the salary of applied data scientist?

The average salary of an applied data scientist typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and data analysis can earn higher salaries.

What does applied data science do?

Applied data science involves using data analysis, statistical methods, and machine learning techniques to solve real-world problems and inform decision-making. Professionals in this field work with large datasets, programming tools like Python or R, and often collaborate with business teams to develop actionable insights. It requires strong analytical skills and knowledge of data management and modeling.

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 jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs involve analyzing data, building models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the key skills and qualifications needed to thrive in the Applied Data Science position, and why are they important?

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 is an Applied Data Science job?

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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $138,036 per year, or $66.4 per hour.
Computational Chemistry/Toxicology Scientist

Computational Chemistry/Toxicology Scientist

Vish Consulting Services Inc

Zionsville, IN • On-site

Contractor

Posted 29 days ago

Job description

VCS is looking for a computational chemistry/Toxicology Scientist for one of our client

Job Title - Computational Chemistry/Toxicology Scientist

Job Location - Indianapolis, IN 46077

Contract- 12+ Months with possible extension

Shift- Day M-F 40 hrs./week

Pay- 57/Hr.

Description:
The client has an exciting and challenging opportunity in the Predictive Safety Center within Regulatory Science for a Computational Scientist Contractor with expertise in c/Bioinformatics. The individual will partner with a multidisciplinary team to design, develop, and implement machine learning models to predict safety profiles of chemicals to support the discovery, development and registration of novel crop protection products. This position is located in Indianapolis, IN, while strong candidates working remotely will be considered.
Responsibilities:

  • Develop and apply chemistry structure-based predictive models for assessing safety profiles of early-stage discovery molecules
  • Assess potential mechanisms of toxicity by assessing ligand-protein binding affinity using protein structure alignment, binding pocket evaluation, and molecular docking
  • Work collaboratively with internal and external cross-functional multidisciplinary teams, collaborators, and consultants to implement in silico models to meet business needs
  • Serve as a subject matter expert on in silico modelling for the team and other partners in R&D sub-functions
  • Present the development and application of cheminformatics/bioinformatics approaches and novel ML/DL models internally and externally including scientific conferences
  • Keep abreast of the latest scientific development in the areas of machine learning, cheminformatics, bioinformatics, and related fields and identify technologies to be applied internally
  • Analyze complex datasets using machine learning approaches and interpret results to improve data-driven decision-making processes

Qualifications:

  • Ph.D. degree in Cheminformatics, Computational Chemistry, Computational Biology, Bioinformatics, Toxicology, or a related field
  • 3+ years of experience in developing machine learning models and applying cheminformatics/bioinformatics and AI for structure-based drug design, toxicology assessment, mechanism prediction
  • Strong technical background in machine learning, deep learning, and statistical modeling with prior experience in applying these techniques to process, analyze and draw insights from complex datasets involving chemical compound structures and toxicity endpoints
  • Demonstrated programming proficiency in Python and experience in utilizing machine learning libraries
  • Demonstrated in-depth knowledge in toxicology, chemistry, chemical structure, QSAR, protein structure
  • Knowledge in omics analysis and systems biology is a plus
  • Demonstrated teamwork and project leadership skills to manage multiple projects on different timelines for stakeholders across the business
  • Excellent communication and presentation skills to different stakeholder audiences

Thank You!

Bhanendra S Singh
Vish Consulting Services(VCS)
Bhanendra @vishusa.com