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Nvidia Data Scientist Jobs in Indiana (NOW HIRING)

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Nvidia Data Scientist information

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$43.8K

$157K

$231.7K

How much do nvidia data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for nvidia data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

Is a Nvidia Data Scientist job still in demand?

Nvidia Data Scientist roles remain in high demand due to the company's focus on AI, machine learning, and deep learning technologies. These positions often require expertise in programming, data analysis, and familiarity with Nvidia's tools like CUDA and GPU computing, making them valuable in industries such as technology, automotive, and healthcare.

What is a Nvidia data scientist?

A Nvidia Data Scientist leverages AI, machine learning, and deep learning to develop models and algorithms that optimize GPU-accelerated computing solutions. They work with large datasets, conduct research, and build scalable data-driven solutions for industries like gaming, autonomous vehicles, and healthcare. Their role involves collaborating with engineers and researchers to improve AI frameworks and performance on Nvidia hardware. Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and data analytics is essential.

What are the key skills and qualifications needed to thrive as a Nvidia data scientist, and why are they important?

To thrive as an Nvidia Data Scientist, you need a solid background in statistics, machine learning, computer science, and typically a graduate degree in a related field. Proficiency with Python, deep learning frameworks (such as TensorFlow or PyTorch), GPU computing, and experience with large-scale data systems are highly valued, along with relevant certifications. Analytical thinking, strong problem-solving abilities, and clear communication are soft skills that set candidates apart in this collaborative, fast-evolving field. These capabilities are essential for driving innovation, building robust AI solutions, and contributing effectively to cross-functional teams at Nvidia.

What types of projects does a Nvidia data scientist typically work on, and how do they contribute to the company's core technologies?

Nvidia Data Scientists are often involved in pioneering projects related to AI model development, computer vision, natural language processing, and deep learning applications optimized for GPU hardware. They collaborate closely with research engineers, software developers, and product teams to create scalable AI solutions that enhance Nvidia’s products, ranging from gaming to autonomous systems. A typical week might involve experimenting with new algorithms, analyzing large datasets, optimizing code for GPU acceleration, and translating research breakthroughs into practical applications. This role offers continuous learning opportunities and plays a direct part in shaping industry-leading technologies.

What are the most commonly searched types of Nvidia Data Scientist jobs in Indiana? The most popular types of Nvidia Data Scientist jobs in Indiana are:
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Infographic showing various Nvidia Data Scientist 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Scientific Solutions Partner- Central US

TetraScience

Indianapolis, IN • On-site

Full-time

Life, Retirement, PTO

Re-posted 22 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.