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Associate Data Scientist Jobs in Indiana (NOW HIRING)

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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Associate Data Scientist information

See Indiana salary details

$54.7K

$64.7K

$122.8K

How much do associate data scientist jobs pay per year?

As of Aug 5, 2026, the average yearly pay for associate data scientist 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 the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What can I do with an associate data scientist?

An associate data scientist analyzes data to identify patterns, build models, and support decision-making using tools like Python, R, or SQL. This role often involves collaborating with teams, developing predictive models, and gaining experience to advance to more senior data science positions.
What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Associate Data Scientist jobs? Cities in Indiana with the most Associate Data Scientist job openings:
What are popular job titles related to Associate Data Scientist jobs in IN? For Associate Data Scientist jobs in IN, the most frequently searched job titles are:
Infographic showing various Associate Data Scientist job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,743 per year, or $31.1 per hour.

Associate Formulation Scientist

Corteva Agriscience

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 26 days ago


Job description

At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture, driving breakthroughs in the innovation and application of science and technology to improve lives around the world and advance humankind. Corteva Agriscience is committed to developing new active ingredients and formulated products that are competitive with the current and future market conditions.
The individual in the Associate Formulation Scientist position will provide technical support for the creation and development of novel formulations and delivery systems for new and existing agricultural active ingredients. The individual will collaborate with cross-functional parters across Corteva R&D to explore and evaluate formulation concepts through proof-of-concept studies, translate promising ideas into practice, and advance successful technologies through the stage-gate pipeline toward business case development and commercialization. The ideal candidate will have foundational training in chemistry, chemical engineering, material science or a related discipline. Experience in formulation development for the agricultural, pharmaceutical, personal care, or related industries is preferred.
Responsibilities:
How will you help us grow? It matters to us, and it matters to you!
  • Conduct hands-on laboratory work to explore, prove, and develop novel formulation and delivery system technologies for new and registered agricultural active ingredients.
  • Partner with experienced formulation scientists to develop hypotheses, plan and execute effective experiments, generate reproducible data, interpret results, and refine hypotheses as needed.
  • Apply sound scientific methods to solve technical problems related to formulation chemical/physical stability, active ingredient delivery, product performance, etc.
  • Support the development of products that meet or exceed customer expectations for safety, storage, handling, and application performance.
  • Through hands-on technical work, support investigations of product quality concerns, technical issues, and troubleshooting efforts.
  • Provide in-season formulation preparation support as needed.
  • Collaborate with cross-functional partners, such as analytical, process development, application technology, biology, regulatory, operations and commercial teams, to support successful product development.
  • Follow all laboratory safety procedures and contribute to a safe working environment.

Requirements:
What expertise have you grown? What do you bring to the table?
  • Foundational knowledge or experience in formulation technology, including areas such as colloids, interfacial phenomena, rheology, solids processing etc.
  • Prior experience in research or manufacturing/engineering is desirable.
  • Ability to work independently while contributing effectively to project goals.
  • Strong problem-solving skills and ability to apply scientific principles to technical challenges.
  • Strong interpersonal skills and ability to work in multi-disciplinary teams.
  • Excellent verbal and written communication skills.

Education
  • BS/MS in Chemistry, Chemical Engineering, Material Science, or related fields with 0-3 years of work experience

Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.