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Data Science Jobs in Lafayette, IN (NOW HIRING)

Bachelor's degree in Meat Science, Food Science, Animal Science, or related discipline; Master's or ... data-driven decision making; and clean-label / ingredient-reduction formulation Other Duties:

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture ... Familiar with life science curricula at high school and introductory college levels, and common ...

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Data Science information

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$36.1K

$118.1K

$189.1K

How much do data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science in Lafayette, IN is $118,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $130,800.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Lafayette, IN?

The most popular types of Data Science jobs in Lafayette, IN are:

What are popular job titles related to Data Science jobs in Lafayette, IN?

For Data Science jobs in Lafayette, IN, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Lafayette, IN look for?

The top searched job categories for Data Science jobs in Lafayette, IN are:

What cities near Lafayette, IN are hiring for Data Science jobs?

Cities near Lafayette, IN with the most Data Science job openings:

Infographic showing various Data Science job openings in Lafayette, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,091 per year, or $56.8 per hour.

Production Control Data Analyst

Subaru of Indiana Automotive, Inc

Lafayette, IN • On-site

$80 - $100/hr

Other

Posted 18 days ago


Subaru of Indiana Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

38th of 45 rated automakers


Job description

TheProduction Control Data Analyst is responsible for data collection and analysis used to develop production and resource strategies for the short, mid, and long term. This role will improve the efficiency of data collection and develop tools to analyze and use data to support production scheduling.

Outline of Duties:
  • Analyze various scenarios for line speed, overtime, weekend production and capacity increases.
  • Develop systems, processes, and databases to capture and visualize constraints and production projections. Report out using information as required.
  • Use data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL and other languages as needed
  • Develop efficient, robust ETL processes to extract data from transactional systems and other sources; follow organizational change management procedures
  • Lead and/or support continuous improvement activities to improve analysis capability and performance; advise the business on possible and recommended metrics based on experience and industry best practice
  • Design and build reports and data visualizations, including dashboards
  • Deliver ad hoc reports and data extracts as needed
  • All other duties as assigned
Minimum Qualifications:
  • Bachelor’s degree in Information Technology, Data Analytics, related field, or equivalent years of experience
  • Strong software skills in Excel, Access, SQL, and Visual Basic
Desired Qualifications:
  • Bachelor’s degree in Information Technology, Data Analytics, related field, plus 3-5 years of experience
  • Experience in automated Manufacturing industry

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.

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