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Data Science Visualization Jobs in Indiana (NOW HIRING)

Recent computer science/engineering/mathematics/statistics or science graduates looking to make ... Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools * Excellent written ...

... quality and effective visualization and reporting solutions for the organization o Utilizes ... Minimally, candidates will have a bachelor's degree in statistics, math, computer science ...

... Science, Geographic Information Systems, or related field * Proven experience in data analysis, statistical analysis, and data visualization * Proficiency in using data analysis languages such as ...

... Science, Geographic Information Systems, or related field * Proven experience in data analysis, statistical analysis, and data visualization * Proficiency in using data analysis languages such as ...

... Science, Geographic Information Systems, or related field * Proven experience in data analysis, statistical analysis, and data visualization * Proficiency in using data analysis languages such as ...

... Science, Geographic Information Systems, or related field * Proven experience in data analysis, statistical analysis, and data visualization * Proficiency in using data analysis languages such as ...

Entry Level Data Engineer

Indianapolis, IN

$109.40K - $131.40K/yr

Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or related STEM fields ... Proficiency in Python, Gen AI, LLMs, SageMaker, Snowflake, Computer Vision, Data Visualization ...

Oversees activities related to an internal data and analytics portfolio (may include data science, data engineering, data prep, data governance, data stewardship, visualization, alerting and ...

Oversees activities related to an internal data and analytics portfolio (may include data science, data engineering, data prep, data governance, data stewardship, visualization, alerting and ...

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Data Science Visualization information

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in Indiana? For Data Science Visualization jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Data Science Visualization jobs? Cities in Indiana with the most Data Science Visualization job openings:
Infographic showing various Data Science Visualization job openings in Indiana as of May 2026, with employment types broken down into 2% As Needed, 76% Full Time, 21% Part Time, and 1% Contract. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution.
Advisor, Data Scientist - CMC Data Products

Advisor, Data Scientist - CMC Data Products

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Posted 24 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

12th of 71 rated pharmaceutical


Job description

Job Summary:
Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, focusing on discovering and delivering life-changing medicines. They are seeking an exceptional Data Scientist to lead the development of enterprise-scale data products that power AI-driven insights and optimize processes in the pharmaceutical domain.
Responsibilities:
• Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows.
• Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD).
• Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access.
• Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A.
• Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products.
• Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance.
• Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing
• Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness
• Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development
Qualifications:
Required:
• Master’s degree in Computer Science, Data Science, Machine Learning, AI, or related technical field
• 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming)
• Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure)
• Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains
• Proficiency with SQL, Python, and data visualization tools
• Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors)
• Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control
• Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data
• Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns
Preferred:
• Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies
• Experience implementing data mesh architectures in scientific organizations
• Knowledge of MLOps practices and model deployment in validated environments
• Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications
• Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications
Company:
We're a medicine company turning science into healing to make life better for people around the world. Founded in 1876, the company is headquartered in Indianapolis, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Eli Lilly and Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Eli Lilly logo

About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876