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Director Data Science Jobs in Indiana (NOW HIRING)

Purdue University

Data Analyst

West Lafayette, IN · On-site

... science, and data governance. Fully remote and hybrid work options are available. For full ... Strong attention to detail, quality, and self-directed work What Is Helpful: Applicants are not ...

Amcor plc

Director of Supply Chain Analytics

Evansville, IN · On-site

$173K - $196K/yr

Collaborating across the organization, the Director will lead a team of three data scientists and analysts who transform data into actionable insights and guide teams through complex change ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a ... of directors. * Mathematical skills: Ability to work with mathematical concepts. * Reasoning:

Amcor

Director of Supply Chain Analytics

Evansville, IN · On-site

$173K - $196K/yr

Collaborating across the organization, the Director willlead a team of three data scientists and analysts whotransform data into actionable insights and guide teams through complex change management ...

MSD of Steuben County

Science Teacher

Angola, IN

$45K - $58K/yr

Use formative and summative assessment data to guide instruction and support student growth, and ... Please direct any inquiries to: Travis Heavin, Principal at theavin@msdsc.us

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$124K - $280K/yr

Direct the team through complexity, demonstrating composure through ambiguous, challenging and ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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Director Data Science information

See Indiana salary details

$51.4K

$147.4K

$232.2K

How much do director data science jobs pay per year?

As of Jun 18, 2026, the average yearly pay for director data science in Indiana is $147,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $180,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Data Science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

Is 40 too late for data science?

For a Data Science Director role, age is not a barrier; many professionals transition into data science or advance to leadership roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis, regardless of age.

How much does a director of data science make in the US?

A director of data science in the US typically earns between $130,000 and $200,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on experience, industry, company size, and location, and the role usually requires advanced skills in machine learning, data analysis, and leadership.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer or Director of Data Science, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and leadership responsibilities.

What does a director of data science do?

A director of data science oversees data science teams, develops strategic plans for data analysis, and ensures the implementation of data-driven solutions to support business goals. They often manage projects involving machine learning, statistical modeling, and data infrastructure, requiring strong leadership and technical skills. The role typically involves collaboration with other departments and may require experience with tools like Python, R, and cloud platforms.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What are the most commonly searched types of Data Science jobs in Indiana? The most popular types of Data Science jobs in Indiana are:
What are popular job titles related to Director Data Science jobs in Indiana? For Director Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Director Data Science jobs in Indiana look for? The top searched job categories for Director Data Science jobs in Indiana are:
What cities in Indiana are hiring for Director Data Science jobs? Cities in Indiana with the most Director Data Science job openings:
Director Data Science jobs near you
Infographic showing various Director Data Science job openings in Indiana as of June 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $147,372 per year, or $70.9 per hour.
Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted 27 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

263rd of 537 rated colleges and universities

Job description

Req Id: 42215
Job Title: Data Analyst
City: West Lafayette
Job Description:
Job Summary
The Institutional Data Analytics + Assessment (IDA+A) office is seeking a Data Analyst (P@), Senior Data Analyst (P3), or Lead Data Analyst (P4). This role supports high-visibility institutional priorities through advanced analytics, reporting, and strategic insight, enabling leaders to make informed decisions that impact students, faculty, and operations at scale.
In this role, you will contribute to research, statistical analysis, report development, dashboard creation, and evidence-based decision support. Working closely with a broad range of campus stakeholders, you will support data-informed decision-making for both day-to-day operations and broader institutional initiatives.
This position will be filled at the appropriate career level (P2, P3, or P4) based on the selected candidate's skills and experience. Responsibilities, scope, and influence increase with level. All levels emphasize collaboration, teamwork, and the delivery of clear, insightful, actionable, and customer-focused analytics. Depending on level, you will work alongside analytics colleagues (P2), mentor and influence peers (P3), or lead complex initiatives and set analytical standards (P4), while partnering closely with staff in assessment, data engineering, data science, and data governance.
Fully remote and hybrid work options are available.
For full consideration, an attached resume and cover letter are required.
This posting represents multiple vacancies.
Responsibilities
  • P2 (Data Analyst): Executes analyses, builds reports, develops technical skills
  • P3 (Senior): Leads projects, mentors peers, improves data quality and practices
  • P4 (Lead): Drives strategy, leads large initiatives, sets standards across domains

Support Data and Information Needs (All Levels)
  • Deliver timely, accurate routine and ad hoc reports, dashboards, and analyses
  • Create and maintain curated data sets to support reporting and analytics
  • Conduct descriptive, summary, and statistical analyses (e.g., regression, ANOVA)
  • Interpret results and communicate findings clearly to technical and non-technical stakeholders
  • Independently complete analytical projects of increasing complexity based on level

Training, Documentation, and Metadata (All Levels)
  • Author and maintain metadata, data definitions, and technical specifications
  • Contribute to training materials and documentation supporting data fluency
  • Provide system administration support for the Data Cookbook and enterprise metadata tools

Participate in the Purdue Data Community (All Levels)
  • Collaborate with campus data partners to enhance data quality and shared understanding
  • Communicate effectively with stakeholders across functional and technical areas
  • Model best practices in data stewardship, documentation, and responsible data use

Enhance Data Quality and Analytical Standards (P3 & P4)
  • Collaborate with campus partners to improve data quality through enhancements and process improvements
  • Resolve complex data quaity issues spanning multiple subject areas or systems
  • Develop and execute validation plans for new data sets and business intelligence updates
  • Influence adoption of standards, best practices, and consistent analytical approaches

Strategic Partnership & Leadership (P3 & P4)
  • Build deep understanding of functional areas such as Enrollment Management Communications, the Registrar, Admissions, and/or Financial Aid
  • Translate functional needs into tailored analytical solutions
  • Serve as a trusted analytics partner for assigned domains

Leadership & Impact (P4)
  • Lead large, complex, and often ambiguous analytics initiatives with cross-departmental impact
  • Set analytical standards and guide approaches for reporting, validation, and data use
  • Mentor and coach analytics colleagues; review and guide others' work
  • Provide measurable input into planning, prioritization, and strategic initiatives
  • Serve as a subject-matter expert representing IDA+A in campus-wide efforts

What We're Looking For:
  • Bachelor's degree
  • Experience in data extraction, processing, visualization, and analysis:
  • P2: 2+years (a full-time internship may count toward experience)
  • P3: 4+years
  • P4: 6+years
  • Strong communication skills, including presenting findings and maintaining documentation
  • Ability to work effectively with stakeholders at all organizational levels
  • Ability to handle sensitive and confidential data responsibly
  • Experience with BI tools (Tableau preferred)
  • Knowledge of relational databases and reporting tools (SQL and Cognos preferred)
  • Experience conducting statistical analysis (e.g., SAS, SPSS, Minitab)
  • Strong attention to detail, quality, and self-directed work

What Is Helpful:
Applicants are not expected to meet every preferred qualification.
  • Degree in Business, Management, Financial Management, MIS, CIT, Math/Statistics, Behavioral & Social Sciences, or a related field
  • Master's degree
  • Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint
  • Experience supporting higher education data, analytics, or reporting environments
  • Experience using generative AI tools to support analytical workflows (e.g., documentation, exploratory analysis, summarization), with attention to responsible and ethical use

What We Want You To Know:
  • Fully remote and hybrid work options are available
  • This posting represents multiple vacancies
  • For full consideration, an attached resume and cover letter are required
  • Purdue will not sponsor employment authorization for this position
  • A background check is required for employment in this position
  • FLSA: Exempt (Not eligible for overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period
  • Purdue University is an EO/EA University.

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