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Data Science Jobs in Avon, IN (NOW HIRING)

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

CSpring

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience. * Located in or around Indianapolis, IN. Bonus Experience * Azure certifications ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position. • Bachelor's Degree in Computer Science, Data Science, Software ...

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The position emphasizes the development of robust, secure, and reproducible data infrastructure that supports data science, analytics, and AI-driven research. The Engineer applies modern software ...

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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 9, 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.

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.

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 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 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.

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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Avon, IN? The most popular types of Data Science jobs in Avon, IN are:
What are popular job titles related to Data Science jobs in Avon, IN? For Data Science jobs in Avon, IN, the most frequently searched job titles are:
What cities near Avon, IN are hiring for Data Science jobs? Cities near Avon, IN with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Avon, IN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution, with an average salary of $117,711 per year, or $56.6 per hour.

Senior Director, R&D Data Strategy, Operations & Analytics

Elanco

Indianapolis, IN • Hybrid

Full-time

Retirement, PTO

Posted 2 days ago

New

Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

51st of 86 rated pharmaceutical

Job description

At Elanco (NYSE: ELAN) - it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals' lives better makes life better - join our team today!

Your Role: Sr Director, R&D Data Operations & Analytics

As theSr Director, R&D Data Operations & Analytics, you will lead the global execution engine that transforms R&D data into a competitive advantage. You are responsible for leading the effort to define the R&D data governance framework, establish metadata standards, and lead the transition toward a "Data-as-a-Product" mindset; operationalizing the R&D data strategy by leading a high-performing team ofspecialized Data Stewardsand driving the end-to-end dashboard and analytics ecosystem. You will translate complex data ecosystems into clear, actionable insights that empower R&D leaders to make informed strategic decisions. In this capacity, you will ensure that all data operations and pipelines are robust, scalable, and purpose-built to achieve Elanco's long-term AI and digital transformation goals.

Your Responsibilities:

  • People Leadership:Lead and develop a cross-functional team for data strategy, data science and Data Stewards (Clinical, Lab, Regulatory).

  • AI Goal Alignment:Partner closely with theAI Strategy Leaderto ensure that data operations, ingestion pipelines, and storage architectures are optimized to achieve Elanco's AI/ML objectives and model performance goals.

  • Scalability & Strategy Alignment:Oversight of the R&D data strategyto ensure the strategic roadmap is translated into scalable operational processes that can support global growth and increasing data volumes while aligned with Enterprise goals.

  • Strategic Insights:Translate complex R&D data sets into executive-ready narratives, using data visualization to influence strategic R&D investment and operational decisions.

  • Analytics & Dashboard Delivery:Oversee the R&D dashboard roadmap, ensuring the delivery of intuitive, high-impact analytics tools that provide real-time visibility into the R&D pipeline.

  • Operational Excellence:Serve as the primary point of escalation for data operational issues, ensuring that the R&D data lifecycle is efficient, reliable, and compliant with global standards.

What You Need to Succeed (minimum qualifications):

  • Education:Master's degree in Business Analytics, Data Science, Information Management, or a related scientific field.

  • Experience:10+ years in data-centric roles, with at least 3 years of direct people management experience in a complex, matrixed environment.

  • Analytical Leadership:Proven track record of leading analytics teams to deliver actionable insights to senior executives.

  • Strategic Communication:Exceptional ability to synthesize technical data into clear, compelling "business stories" for non-technical leadership.

What will give you a competitive edge (preferred qualifications):

  • Industry Expertise:Extensive experience in pharmaceutical R&D, clinical operations, or animal health regulated environments.

  • AI/ML Familiarity:Strong understanding ofdata analytics, AI/ML workflows and how data quality, governance, and pipeline health influenceAI model performance, reliability, and lifecycle management.

  • Change Management:Demonstrated success leading large-scale digital or data transformation initiatives across cross-functional global teams.

Additional Information:

  • Location:Global Elanco Headquarters - Indianapolis, IN

  • Work Model:Hybrid - This position is based in Indianapolis and requires a blend of on-site and remote work.

  • Travel:Less than 10%

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks:

We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

  • Multiple relocation packages

  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)

  • 8-week parental leave

  • 9 Employee Resource Groups

  • Annual bonus offering

  • Flexible work arrangements

  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against jobrelated criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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