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Director Data Science Jobs in Indiana (NOW HIRING)

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:

Role SummaryThe Regional Medical Scientific Director (Regional Medical Scientific Director) is a ... Scientific InsightsGathers feedback, data, or information during routine activities that can help ...

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

Lead Academic Advisor

West Lafayette, IN · On-site

$40K - $49K/yr

... Associate Director * Serve as the advising point of contact for Data Science programs, coordinating with Mathematics and Statistics on advising, curriculum, and catalog updates * Provide ...

New

As a Director, you will set the strategic direction and lead business development efforts, making ... Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer ...

Showing results 41-60

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 Aug 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 is a director data science?

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 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 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.

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:

Infographic showing various Director Data Science job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% 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.

Scientific Solutions Partner- Central US

TetraScience

Indianapolis, IN • On-site

Full-time

Life, Retirement, PTO

Re-posted 29 days ago


Job description

About TetraScience

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world's leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. 

In connection with your candidacy, you will be asked to carefully review The Tetra Way authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.


The Role

The Scientific Solutions Partner is a new role born from a deliberate strategic choice: the most effective way to sell TetraScience's Scientific Data and AI Cloud is to have one person who can credibly do both - win the scientific and technical confidence of the customer and manage the commercial relationship to close. No separate Account Executive needed.

This is not a traditional Account Executive role with a presales overlay. The Scientific Solutions Partner owns the full customer engagement, from prospecting and discovery through technical solutioning, proof-of-concept, RFP response, and close - and remains accountable for the account's health, expansion, and renewal alongside the Delivery Manager. Both roles share accountability for identifying and progressing expansion opportunities within their accounts.

You will work with the world's largest  enterprise biopharma, biotech, and life sciences companies, helping them understand how the Tetra Scientific Data Foundry and Tetra OS transforms siloed, raw scientific data into AI-ready scientific datasets across the medallion architecture (bronze silver gold AI-native). You will engage audiences ranging from bench scientists and data engineers to CDOs, VPs of Divisional IT, VPs of Scientific areas, and digital transformation executives.

TetraScience provides its SSPs with AI-powered tools - including Claude Cowork and Codex - that automate RFPs, triage, and contracting workflows, enabling each SSP to operate with the leverage of a larger team.

What You'll Do

Scientific & Technical Engagement

  • Lead technical discovery: understand the customer's current lab data landscape - instruments, data formats, informatics stack, and data science ambitions
  • Design and present compelling solution architectures aligned to the customer's specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets) as well as understanding their core data management pain points and goals.
  • Always be leading with demo's of actual software aligned to the customers main value levers.
  • Own and drive proof-of-concept and proof-of-value engagements, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry's capabilities
  • Own RFP technical responses end-to-end, synthesizing platform capabilities, scientific use cases, and customer-specific requirements into compelling, accurate submissions
  • Articulate the medallion data architecture in scientific and business terms: how bronze (raw scientific data), silver (harmonized Tetra Data), and gold (analysis-ready datasets) each create value, and how TetraScience's AI-native layer accelerates scientific outcomes
  • Stay current on the scientific and informatics landscape - relevant assay workflows, instrument vendors, SDMS/ELN/LIMS/analytical software integrations, and AI/ML use cases in drug discovery and development

Commercial Ownership

  • Prospect, qualify, and build territory pipeline in alignment with the TetraScience go-to-market strategy
  • Relentlessly identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts
  • Manage the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar)
  • Maintain a rigorous, accurate pipeline with consistent forecasting and visibility to leadership
  • Build and expand relationships across the customer organization, from individual contributors to executive sponsors
  • Identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts
  • Partner with the Delivery Manager to ensure smooth handoff from sales to delivery, maintaining continuity of scientific context

Market & Thought Leadership

  • Represent TetraScience at industry conferences, seminars, and customer events as a scientifically credible voice
  • Contribute customer and market insights back to product, marketing, and science teams to inform roadmap and messaging
  • Help develop compelling content - case studies, solution briefs, demo narratives - that advances the category

Requirements

What You Bring

  • A Bachelors in a life science, chemistry, or engineering discipline required. A MS or PhD is highly preferred; equivalent practical experience considered
  • 5+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains
  • Direct experience in pharma, biotech, or CRO/CDMO environments - either as a scientist, scientific software professional, or sales/solutions professional serving these customers
  • Demonstrated ability to lead technical sales cycles in enterprise SaaS or scientific software, including POC design and execution and RFP ownership
  • Deep familiarity with laboratory workflows and data: you understand what it means when a customer has 50 instruments generating unstructured data that no one can analyze
  • Fluency with scientific data concepts: file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets
  • Experience with modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar)
  • Strong executive presence - equally compelling in a whiteboard architecture session and a C-suite business case conversation
  • Proficiency with CRM and digital sales tools (Salesforce, LinkedIn Sales Navigator, ZoomInfo, SalesLoft, or equivalent)
  • Ability to travel (approximately 25%) to client sites within assigned region

Benefits

  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Company paid Life Insurance, LTD/STD
  • The salary range for this position is $120K-$200K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate's specific experience, localized market data, and internal team equity.