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Data Science Jobs in Avon, IN (NOW HIRING)

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING * 3-6 years of experience in data science, GIS, or a related field * Strong proficiency in ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including ...

Eli Lilly and Company

Clinical Data Associate

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The role is responsible for providing clinical data science leadership and ownership for a particular clinical study, set of studies, or programs. Primary Responsibilities: This is intended to ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including ...

Eli Lilly and Company

Clinical Data Manager (P3)

Indianapolis, IN · On-site

$154K - $177K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Represent the clinical data sciences function and collaborate with and manage key study stakeholders in achieving study milestones and deliverables. Provide clinical data science leadership and ...

Brooksource

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING * 3-6 years of experience in data science, GIS, or a related field * Strong proficiency in ...

Munich Re

Principal Data Scientist

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ... more years predictive modeling experience in another industry. Education, Certifications ...

New

Munich Re

Principal Data Scientist

Carmel, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ... more years predictive modeling experience in another industry. Education, Certifications ...

New

Pwc

Payer Healthcare Data Scientist, Manager

Indianapolis, IN

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Business, Marketing, Healthcare Administration, Data Science, or a related discipline. * Proficiency in SQL, Excel, and at least one statistical programming language (Python or R)

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...

Coastal

Data Platform Engineer (Data 360)

Indianapolis, IN

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate actively with key stakeholders--including business users, data engineers, data scientists, and CRM IT teams--to understand technical specifications and deliver unified data solutions.

Masco Corporation

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

  • Retirement

The Senior Data Engineer will work closely with analytics, data science, and business stakeholders to standardize data definitions, improve data quality, and reduce reliance on manual data ...

Masco Corporation

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

  • Retirement

The Senior Data Engineer will work closely with analytics, data science, and business stakeholders to standardize data definitions, improve data quality, and reduce reliance on manual data ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Avon, IN

Data Science information

See Avon, IN salary details

$36K

$117.7K

$188.5K

How much do data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science in Avon, IN is $117,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,400.00 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?

Yes, 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.
More about Data Science jobs

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Infographic showing various Data Science job openings in Avon, IN as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $117,711 per year, or $56.6 per hour.

Sr. Data Scientist

Eightelevengroup

Indianapolis, IN • On-site

$110.21 - $121.23/hr

Other

Posted 11 days ago

Job description

Geospatial Data Scientist

Remote

This is a Remote role.

Compensation: $80 - $88 per hour

ABOUT THE ROLE

Our client is seeking a Geospatial Data Scientist to transform complex spatial data into actionable insights and support product and business decision-making. In this role, you will work across the full geospatial data pipeline—from data ingestion and processing to analysis, modeling, and visualization—and collaborate closely with engineering and product teams to embed spatial intelligence into our platform. You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders. The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid understanding of geospatial standards, coordinate reference systems, and data quality management.

WHAT YOU'LL DO
  • Design and execute geospatial analyses to support product and business decision-making
  • Build, validate, and maintain spatial data models and pipelines
  • Query and manage geospatial datasets using PostgreSQL with PostGIS
  • Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB
  • Develop machine learning models with spatial components (clustering, classification, interpolation, etc.)
  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
  • Collaborate with backend engineers to integrate geospatial features into production systems
  • Evaluate and maintain geospatial data quality, coverage, and accuracy
  • Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization
  • Ensure clear communication of geospatial insights in a remote, async environment
  • Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing
  • Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed
WHAT YOU BRING
  • 3–6 years of experience in data science, GIS, or a related field
  • Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar)
  • Deep experience with PostgreSQL and PostGIS for spatial querying and data management
  • Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, WKT, WKB, etc.)
  • Experience with GIS tools such as QGIS, ArcGIS, or equivalent
  • Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing
  • Experience applying machine learning techniques to spatial problems
  • Ability to communicate findings clearly in a fully remote, async environment
  • Experience with remote sensing or satellite imagery analysis (nice to have)
  • Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have)
  • Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice to have)
  • Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have)
  • Knowledge of Docker and containerized data workflows (nice to have)
  • Familiarity with CI/CD and version control best practices (nice to have)
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