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Executive Data Science Analytics Jobs in Indiana

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Develop statistical models, machine learning models, and advanced analyses using large-scale ... Hands‑on experience with Databricks for data science/ML workflows * Working knowledge of AWS data ...

Munich Re

Data Scientist

Fishers, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Jj

Data Scientist, DePuy Synthes

Warsaw, IN

  • Retirement

  • PTO

Apply a broad set of data science techniques - data visualization, pre-processing, categorical analysis, text mining, statistical methodologies, data science strategies, data management, AI, etc ...

Peerless Technologies

Data Management Analyst

Crane, IN · On-site

The successful candidate will support data governance, analytics, reporting, system administration, and data science initiatives while working closely with stakeholders to develop technical solutions ...

Peerless Technologies

Data Management Analyst

Crane, IN · On-site

The successful candidate will support data governance, analytics, reporting, system administration, and data science initiatives while working closely with stakeholders to develop technical solutions ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research and analyze broadly defined business scenarios, trends, and patterns and develop ... Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ...

Motorola

$120K - $150K/yr

  • Medical

  • Dental

  • Retirement

Executive Interfacing: Act as the "voice of the data" for MSI executives, translating technical ... Education: Bachelor's degree required; an MBA or a degree in Data Science/Analytics is a ...

Brotherhood Mutual

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Analyze statistical data on large sets and identify trends by using advanced mathematical and computer science skills. * Execute the production of statistical models, tools, and processes. * Write ...

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Executive Data Science Analytics information

What is the difference between Executive Data Science Analytics vs Data Scientist?

AspectExecutive Data Science AnalyticsData Scientist
CredentialsAdvanced degrees (Master's/PhD), certifications in analytics or data scienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic leadership, executive meetings, cross-departmental collaborationTechnical analysis, coding, model development, data exploration
Employer & Industry UsageSenior roles in corporations, consulting firms, and tech companiesTech companies, finance, healthcare, and research organizations
Search & Comparison IntentUnderstanding strategic vs technical roles, career progressionTechnical skills, daily tasks, qualifications

Executive Data Science Analytics focuses on strategic decision-making, leadership, and high-level analytics, often requiring advanced degrees and certifications. Data Scientists are more hands-on with technical analysis, coding, and model building. Both roles are vital in data-driven organizations but differ in scope, responsibilities, and work environment.

What is an executive data science analytics?

An executive data science analytics role involves leading data analysis projects, interpreting complex data to inform strategic decisions, and communicating insights to senior management. Professionals in this position often have strong skills in statistical modeling, data visualization, and tools like Python or R, with a focus on aligning data initiatives with business goals.

What cities in Indiana are hiring for Executive Data Science Analytics jobs?

Cities in Indiana with the most Executive Data Science Analytics job openings:

Executive Data Science Analytics jobs near you

Data Scientist

Socket.dev

Indianapolis, IN • On-site

$110 - $170/hr

Other

Posted 8 days ago

Job description

Data Scientist

Hybrid – Indianapolis, IN

About the Role

We are seeking a Data Scientist with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame problems, build models and analyses that answer them, and communicate results in terms that drive pharma business decisions.

Key Responsibilities
  • Develop statistical models, machine learning models, and advanced analyses using large-scale datasets in Databricks
  • Access, prepare, and engineer features from data processed through Apache Spark and AWS data services
  • Partner with business groups to understand pharma-specific problems and translate them into data science approaches
  • Build and validate ETL/data pipelines as needed to support modeling and experimentation workflows
  • Communicate modeling results, insights, and recommendations clearly to both technical and non-technical business stakeholders
  • Apply pharma domain knowledge to ensure models and analyses are relevant and interpretable in a business context
  • Collaborate with data engineers and analysts to productionize models and integrate outputs into reporting/decision workflows
  • Monitor model performance over time and iterate as needed
Requirements Required Qualifications
  • 3-5 years of data science / applied statistics / machine learning experience specifically within the pharma industry
  • Hands‑on experience with Databricks for data science/ML workflows
  • Working knowledge of AWS data services
  • Strong experience with Big Data processing using Apache Spark, PySpark.
  • Experience building ETL pipelines to support data science workflows
  • Strong Python and SQL skills; experience with ML libraries
  • Demonstrated ability to understand pharma business needs and speak to pharma business groups
  • Strong communication skills with demonstrated ability to present technical findings to business stakeholders
  • Bachelor's or master's degree in data science, Statistics, Computer Science, or a related quantitative field
Preferred Qualifications
  • Experience with Delta Lake, Snowflake, or similar modern data platforms
  • Familiarity with MLOps practices and model deployment/monitoring
  • Prior experience supporting pharma commercial, clinical, or R&D data science functions
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