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Director Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do director data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for director data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists, especially those in senior or specialized roles at large companies, can earn $300,000 or more annually, often with bonuses and stock options. Achieving this level typically requires extensive experience, advanced skills in machine learning and data engineering, and a strong track record of impact. Compensation varies by industry, location, and company size.

What does a Director Data Scientist do?

A Director Data Scientist leads and manages a team of data scientists, setting the strategic direction for data-driven projects within an organization. They oversee the development and implementation of advanced analytics, machine learning models, and data solutions to solve complex business problems. In addition to technical expertise, they collaborate with other departments, mentor staff, and communicate insights to senior leadership to drive decision making. Their role bridges the gap between technical teams and business goals, ensuring that data initiatives align with organizational objectives.

What is the difference between Director Data Scientist vs Senior Data Scientist?

AspectDirector Data ScientistSenior Data Scientist
ResponsibilitiesOversees data science teams, sets strategic goals, manages projects, and aligns data initiatives with business objectives.Develops advanced models, analyzes complex data, and provides insights; focuses on technical expertise and project execution.
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; often requires 8+ years experience; leadership skills valued.Bachelor's or Master's in relevant field; typically 5+ years experience; strong technical skills essential.
Work EnvironmentLeadership roles in corporate or enterprise settings, collaborating with cross-functional teams.Hands-on technical environment, often within analytics or data science teams.

The main difference between a Director Data Scientist and a Senior Data Scientist lies in scope and leadership. The Director oversees teams and strategic initiatives, while the Senior Data Scientist focuses on technical expertise and project delivery. Both roles require strong data science skills, but the director position emphasizes management and strategic planning.

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, Director of Data Science, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 for those with extensive experience, advanced skills in machine learning, and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Director Data Scientist, and why are they important?

To thrive as a Director Data Scientist, you need advanced expertise in statistical modeling, machine learning, and data analysis, typically supported by a graduate degree in a quantitative field and extensive industry experience. Mastery of programming languages like Python or R, experience with big data platforms such as Hadoop or Spark, and familiarity with cloud-based data solutions are essential, along with relevant certifications like Certified Analytics Professional (CAP). Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling them to manage teams and translate complex insights for stakeholders. These skills are crucial for driving data-driven decision-making and ensuring the successful implementation of analytics initiatives across the organization.

What does a data science director do?

A data science director oversees data science teams and strategies within an organization, guiding the development of models, analytics, and data-driven solutions. They coordinate projects, set priorities, and ensure the effective use of tools like Python, R, or SQL, often requiring leadership and advanced technical skills. Their role involves aligning data initiatives with business goals and managing resources to deliver actionable insights.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, datasets, or models to optimize performance efficiently.

How does a Director Data Scientist typically balance hands-on technical work with leadership responsibilities?

As a Director Data Scientist, you can expect to split your time between strategic leadership and hands-on data science work. While you will lead and mentor teams, set vision, and drive cross-functional initiatives, you’ll also stay involved in high-level modeling, code review, and project architecture to ensure technical excellence. The proportion of hands-on work versus leadership duties often depends on company size and project needs, but maintaining technical involvement is key to effective leadership and team credibility. This balance allows you to guide your team with up-to-date expertise while also influencing organizational data strategy.
What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Director Data Scientist jobs? Cities in Indiana with the most Director Data Scientist job openings:
Director Data Scientist jobs near you
Infographic showing various Director Data Scientist job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, and 9% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Sr. Director, Data Science & AI, Orthopedics

Jj

Warsaw, IN • On-site

Full-time

Retirement, PTO

Posted 14 days ago

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America

Job Description:

DePuy Synthes is recruiting for a(n) Sr. Director, Data Science & AI.

Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone Orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes, and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

About DePuy Synthes

DePuy Synthes is a global leader in Orthopaedics, advancing patient care through innovative solutions across joint reconstruction, trauma, spine, sports medicine, and related surgical technologies. As DePuy Synthes separates from Johnson & Johnson to become the world's largest, most comprehensive Orthopaedics-focused company, the organization is entering a defining chapter-establishing its own corporate identity, voice, culture, and reputation while continuing to serve patients, customers, and healthcare systems around the world.

Job Overview

The Sr. Director, Data Science & AI provides strategic and operational leadership for enterprisewide data science and artificial intelligence capabilities supporting DePuy Synthes. This role is accountable for shaping and executing the Data & AI strategy, translating business priorities into scalable analytics and AI solutions, and enabling datadriven decisionmaking across the organization. The role partners closely with business, technology, and clinical stakeholders to deliver measurable impact, accelerate innovation, and ensure responsible, compliant use of data and AI technologies, and reports into the DePuy Synthes Technology organization.

Johnson & Johnson announced plans to separate our Orthopedics business toestablisha standalone orthopedics company, operatingasDePuy Synthes. The process of the planned separation isanticipatedto be completed within 18 to24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may berequired, regulatory approvals and other customary conditions and approvals. Should you accept this position, it isanticipatedthat, following conclusion of the transaction, you would be an employee of DePuySynthesand your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes atan appropriate timeand subject to any necessary consultation processes.

Job Overview

The Sr. Director, Data Science & AI provides strategic and operational leadership forenterprisewidedata science and artificial intelligence capabilities supporting DePuy Synthes.Reporting to the Chief Data and AI officer this role will shape and lead the enterprise Data Science and AI organization; defining the strategy, standing up the AI Hub, setting the technical standards and building the team that delivers AI at scale across R&D ,Supply Chain, Manufacturing, Quality, Commercial and Corporate functions.

The successful candidate is ahands ontechnologist and strategist in equal measure; able to lay out a multi-year AI strategy for executive audience, evaluate architecture and models, establish governance and standards the make AI safe and defensible in a regulated MedTech environment and lead delivery through global operating model in close proximitywith globalcapabilitycenter(GCC).

Key Responsibilities

  • Define and lead the enterprise Data Science & AI strategy,roadmapand investmentin alignment with business priorities and ITobjectives, spanning machinelearning,generativeAI and agentic AI.

  • Build, lead, and develop highperformingData Science and AIteam.Hiretop talentdefineroles and career paths andestablisha culture of rigor,speedand accountability.

  • Serve as a seniorTechnicalvoice for AI across the enterprise, translating business problems into AI opportunities and setting realistic expectations grounding into what technology can and cannot do.

  • Stand up andoperatethe enterprise AI hub; Shared platform, reusable patterns. Model registry anddeliveryaccelerators through which all AI use cases are built and deployed.

  • Establish standards and reference architectures for generative and agentic AI, orchestration frameworks, retrieval patterns, semantic layers/knowledge graphs, agent action boundaries,observabilityand Human in the loop controls.

  • Evaluate and manage the AI tech stack and vendor ecosystem( cloudML platforms, GenAI Providers, data science tooling) including build vs buy decisions and commercial negotiations in partnership with procurement.

  • Partner with business and functional leaders toidentify, prioritize, and deliver highvalue analytics and AI use cases.

  • Design and operationalize the enterprise AI governance framework; Model risk management, validation standards, explainability, bias and fairness testing, driftmonitoringand audit trails.

  • Partner with Quality, Regulatory, legal and privacy to ensure AI deployments meet GxP,21 CFR Part 11,SOXand data privacy obligations.

  • Track and evaluate emerging AIcapabilities( frontiermodels, Agentic frameworks, domain specific models) and bring the right one into enterprise.

  • Oversee the design, development, and deployment of scalable data science and AI solutions, including predictive and prescriptive analytics.

  • Establish governance, standards, and best practices for data science, AI model development, validation, and lifecycle management.

  • Collaborate with enterprise data, digital, and IT teams to enable modern data platforms and advanced analytics capabilities.

  • Track performance, value realization, and adoption of Data & AI initiatives, continuously driving improvement and innovation.

Qualifications

Education:

  • Bachelor's degreerequiredin Data Science, Computer Science, Engineering, Mathematics, Statistics, ora related field.

  • Master's degree or PhD preferred.

Experience and Skills:

Required:

  • 12-14 years of relevant work experience, including senior leadership experience in data science, advanced analytics, or AI.

  • Deep currentexpertisein AI/ML Landscape; classic ML, Deep Learning, generative AI/LLMs and agentic architectures.

  • DemonstratedexpertiseinMLOps/LLMOpsand production AI at enterprise scale.

  • Working fluency with the modern AI/datastack;eg-Databricks/Snowflake/Sagemakeror comparable platforms, vector database orchestrationframeworksand GenAI providerecosystem( Anthropic,openAI,etc.)

  • Demonstrated ability to translate complex data insights into actionable business outcomes.

  • Experience partnering with senior executives and crossfunctional stakeholders.Executive level communication, able to set strategy with C-suite audiences, defend technical position and rigor and translate between business and deep technical stakeholders.

  • Strongpeopleleadership, talent development, andchangemanagement capabilities.

Preferred:

  • Experience in healthcare, medical technology, life sciences, or regulated industries.

  • Familiarity with enterprise data platforms, cloudbased analytics, and AI toolsets.

  • ExperienceestablishingAI governance, ethics frameworks, and model risk management.

  • Global or matrixed organizational leadership experience.

  • Strong executive communication and storytelling skills using data and analytics.

  • Proven experience leading enterprisescale data science and AI teams and initiatives.

Other:

  • Language: Englishproficiencyrequired.

  • Travel: Up to ~20% domestic and international travel may berequired.

For more information on how we support the whole health of our employees throughout their wellness,careerand life journey, please visitwww.careers.jnj.com.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

#DePuySynthesCareers

Required Skills:

Preferred Skills:

Advanced Analytics, Business Storytelling, Consulting, Critical Thinking, Data Modeling, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Product Portfolio Management, Program Management, Quality Control (QC), Strategic Thinking

The anticipated base pay range for this position is :

$196,000.00 - $342,700.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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