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Director Of Data Science Jobs in Indiana (NOW HIRING)

General Description CANOPS is seeking a Director of Data Analytics to set the vision and strategic direction for its data analytics program and lead the team responsible for delivering on it.

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

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 ...

  • Retirement

Take a leading role in shaping the culture of data science community in CSAA. Required Experience, Education and Skills: * Bachelor's degree in STEM or bachelor's degree with an equivalent ...

Data Scientist

Fishers, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Data Scientist

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Senior Data Scientist

Indianapolis, IN · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

What you will need: 4 years of relevant experience required. * Experience in data analytics, statistics, data science, financial consulting, computer science or related field required. * Experience ...

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Showing results 1-20

Director Of Data Science information

See Indiana salary details

$51.4K

$147.4K

$232.2K

How much do director of data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for director of 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 as a director of data science, and why are they important?

A Director of Data Science needs advanced expertise in statistical analysis, machine learning, and data strategy, typically supported by a graduate degree in a quantitative field and significant industry experience. Familiarity with big data platforms (e.g., Hadoop, Spark), programming languages (Python, R), and cloud-based analytics tools, as well as experience managing data science teams, is essential. Strong leadership, communication, and business acumen are key soft skills for aligning technical work with organizational goals and influencing stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the strategic impact of data science initiatives within the organization.

What does a director of data science do?

A director of data science oversees data science teams, develops strategies for data analysis and modeling, and ensures projects align with business goals. They often manage data infrastructure, collaborate with other departments, and require strong skills in statistics, machine learning, and leadership. The role typically involves setting priorities, managing resources, and communicating insights to stakeholders.

What are some common challenges faced by a director of data science when leading cross-functional teams?

As a Director of Data Science, one of the key challenges is aligning the goals of data science teams with those of product, engineering, and business stakeholders. This often involves translating complex technical findings into actionable insights that non-technical colleagues can understand and use. Additionally, managing resource allocation and prioritizing projects across multiple departments can be demanding, especially in fast-paced environments. Building a collaborative culture and fostering open communication are crucial for overcoming these challenges and ensuring data-driven strategies deliver business value.

What is the difference between Director Of Data Science vs Data Scientist?

AspectDirector Of Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's or PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic planning, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, tech firms, research institutions, various industries

The main difference between a Director Of Data Science and a Data Scientist lies in their scope of responsibilities. The Director oversees strategic initiatives, manages teams, and aligns data projects with business goals, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but the Director's role emphasizes leadership and strategic planning.

What are the most commonly searched types of Of Data Science jobs in Indiana?

The most popular types of Of Data Science jobs in Indiana are:

What cities in Indiana are hiring for Director Of Data Science jobs?

Cities in Indiana with the most Director Of Data Science job openings:

Infographic showing various Director Of Data Science job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,372 per year, or $70.9 per hour.

Director of Marketing Analytics and Data Science (Digital Marketing Leader)

The Chronicle Of Higher Education, Inc.

Bloomington, IN • On-site

$90 - $110/hr

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Department

VP COMMUNICATIONS & MARKETING (UA-VPCM-IUBLA)

Job Summary

Indiana University is seeking a Director of Marketing Analytics and Data Science to drive institutional outcomes by leading the use of data and analytics in designing, measuring, and improving audience experiences across a complex, multi‑campus environment. Positioned within the Web and Digital Strategy team within University Communications and Marketing (UCM), this role collaborates closely with experts in marketing and communications, information technology, and higher education to ensure experiences are intentionally designed and informed by data.

Department Specific Responsibilities
  • Reports to the Executive Director of Web and Digital Strategy. The Director of Audience Experience leads the Audience Experience (AX) function.
  • Responsible for omnichannel audience insights, analytics, research, and forecasting.
  • Advances IU's experience engineering and data strategy by transforming data from a reporting function into a strategic capability enabling predictive and prescriptive analytics that guide university strategy, inform decisions, and drive outcomes such as enrollment, engagement, retention, and revenue.
  • Provides strategic leadership within UCM, ensuring data is translated into clear, actionable guidance that supports institutional goals and decision‑making.
  • Builds and advances an analytics maturity model – leading a transition from descriptive and diagnostic analytics to predictive and prescriptive analytics, including forecasting, modeling, and outcome‑oriented recommendations.
  • Operationalizes IU's experience engineering framework by aligning data with constituent lifecycle stages, triggers, gates, and customer journey orchestration across owned and paid channels.
  • Collaborates with subject matter experts across marketing functions to understand business needs and improve the ability to measure and optimize work.
  • Evangelizes a culture of data strategy and curiosity across the organization.
  • Applies advanced quantitative and analytical techniques (e.g., regression analysis, statistical modeling, A/B testing, multivariate experiments) to complex, multi‑source datasets to understand audience behavior, performance, and opportunity.
  • Leads and develops a multidisciplinary Audience Experience team, including data engineering and data visualization specialists, fostering analytical rigor, collaboration, and continuous improvement.
  • Partners with staff to ensure scalable data pipelines, Extract, Transform, Load (ETL) processes, and centralized access to channel, audience, and institutional data that support segmentation, personalization, visualization, and analysis.
  • Collaborates across UCM, campuses, and functional areas to align analytics priorities, enable shared understanding of performance, and support insight‑driven planning and investment.
  • Champions ethical, compliant, and responsible data practices, including data governance, privacy, security, and quality standards.
  • Monitors and leads through emerging trends in analytics, data science, and AI to inform continuous improvement and future‑state strategy (cookie‑less ecosystem, ubiquity of AI, etc.).
General Responsibilities
  • Directs operations for the digital marketing function by providing oversight and direction within a department, large multi‑faceted department, or multiple departments.
  • Hires, trains, evaluates, coaches, assigns work, sets goals and objectives, determines staffing needs, and directs the work of a team of digital marketing staff.
  • Manages relationships with various internal and external stakeholders; determines digital marketing needs, projects, and programs to align with objectives and goals and manages processes such as the development of communications timelines related to such initiatives.
  • Reviews drafts of digital marketing strategies, content, and projects and coaches on grammar, tone, branding guidelines, formatting, and other elements that may affect the perception of messaging or reputation of the department.
  • Responds to escalated and complex inquiries and requests and explains policies, procedures, and context of communications.
  • Assists in budget planning and administration for digital marketing initiatives, including expenditures, revenue projections, and program costs.
  • Monitors industry trends and best practices, makes process and operational and strategic recommendations to manager, and assists in implementing recommendations to optimize operations and progress toward objectives.
  • May provide guidance to lower‑level Digital Marketing Leaders.
Qualifications

Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.

Education Required
  • Bachelor's degree in communications, journalism, English, public relations, data science, computer science, informatics, information systems, marketing, or related fields.
Preferred
  • Master's degree in data science, computer science, informatics, information systems, marketing, or related fields.
Work Experience Required
  • 4 years in relevant field.
  • 1 year of management experience in relevant field.
Preferred
  • 7 years of progressive responsibility in analytics, data strategy, audience insights, or a related field within a complex organization.
Skills Required
  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Excellent organizational skills.
  • Excellent collaboration and team building skills.
  • Effectively coaches and delivers constructive feedback.
  • Instills commitment to organizational goals.
  • Demonstrates excellent judgment and decision‑making skills.
  • Effective conflict management skills.
  • Builds and manages effective teams.
Preferred
  • Advanced quantitative and analytical skills, with demonstrated experience performing regression analysis, forecasting, statistical modeling, and multivariate analysis.
  • Strong understanding of analytics maturity models and the ability to guide organizations from reporting‑focused analytics toward insight, foresight, and outcome‑driven decision‑making.
  • Ability to connect analytical work to concrete business or institutional outcomes, including revenue generation, enrollment, retention, and engagement.
  • Strong systems‑thinking mindset, with the ability to integrate data across marketing channels, Customer Relationship Management (CRM) platforms, and institutional systems.
  • Familiarity with digital marketing and audience data ecosystems (e.g., GA4, CRM/CDP platforms, marketing automation, data visualization tools).
  • Data storytelling – the ability to translate complex analytical findings into clear, compelling narratives and recommendations for senior leaders and non‑technical stakeholders.
  • Demonstrated success leading through influence and partnership in decentralized or matrixed environments.
  • Experience leading or mentoring multidisciplinary teams that include analytics, data engineering, and data visualization roles.
  • Familiarity with higher education context.
Working Conditions / Demands

This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.

Work Location

Bloomington, Indiana or Indianapolis, Indiana.

Benefits Overview
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long‑term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU‑sponsored volunteer events
  • Employee assistance program (EAP)
Equal Employment Opportunity

Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring.

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