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Director Google Data Science Jobs in Indiana (NOW HIRING)

Data Architect

Zionsville, IN

$61.75 - $79.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

Direct the team through complexity, demonstrating composure through ambiguous, challenging and ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

... data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS Security Lake, Google ...

Showing results 21-40

Director Google Data Science information

How does a director Google Data Science typically collaborate with cross-functional teams to drive data-driven decision-making?

As a Director of Google Data Science, you will frequently lead and coordinate with product managers, engineers, designers, and business leaders to translate business goals into actionable data projects. This collaboration involves setting data strategy, defining key metrics, and ensuring that insights are integrated into product roadmaps and business decisions. You’ll also mentor data scientists, facilitate communication between technical and non-technical stakeholders, and help foster a culture of experimentation and innovation. Ensuring alignment across teams and managing priorities is a common challenge, but it’s crucial for maximizing the impact of data science on organizational objectives.

What does a director Google Data Science do?

A Director of Google Data Science leads teams of data scientists, analysts, and engineers to drive data-informed decision-making across the company. They are responsible for setting the strategic vision for data initiatives, overseeing the development of machine learning models and analytics solutions, and collaborating with cross-functional teams to solve complex business problems. This role also involves mentoring staff, managing large-scale projects, and ensuring that data practices align with Google's ethical standards and business goals.

What are the key skills and qualifications needed to thrive as a director Google Data Science?

To thrive as a Director of Google Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant industry experience. Mastery of programming languages like Python or R, familiarity with big data platforms (such as BigQuery), and experience with cloud computing tools are essential, along with strong project management skills. Outstanding leadership, communication, and strategic vision are crucial soft skills for guiding teams and collaborating with stakeholders across the organization. These skills and qualities are vital for driving impactful data-driven decisions, fostering innovation, and successfully leading large, diverse data science teams.

What is the difference between Director Google Data Science vs Data Science Manager?

AspectDirector Google Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting visionTeam management, project execution, day-to-day operations
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data scienceBachelor's or Master's, strong technical and leadership skills
Work EnvironmentExecutive level, cross-functional collaboration, strategic planningTeam-focused, project management, technical oversight
Industry UsageCommon in large tech companies, corporate R&D divisionsWidely used across tech, finance, healthcare sectors

The main difference between a Director Google Data Science and a Data Science Manager lies in scope and focus. The Director typically handles strategic planning and oversees multiple teams, while the Manager focuses on project execution and team management. Both roles require strong technical backgrounds, but the Director's role is more executive and vision-oriented.

What are popular job titles related to Director Google Data Science jobs in Indiana?

For Director Google Data Science jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Director Google Data Science jobs in Indiana look for?

The top searched job categories for Director Google Data Science jobs in Indiana are:

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

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

Infographic showing various Director Google Data Science job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Scientific Solutions Partner- Central US

TetraScience

Indianapolis, IN • On-site

Full-time

Life, Retirement, PTO

Re-posted 25 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.