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Staff Data Scientist Jobs (NOW HIRING)

OpenX

Staff Data Scientist

New York, NY · Remote

$195K - $218K/yr

A Staff Data Scientist is a senior technical leader whose impact spans multiple teams and business domains. In this role, you will solve complex marketplace problems, set technical direction for your ...

Warby Parker

Staff Data Scientist

New York, NY

Warby Parker is on the lookout for a Staff Data Scientist who will help shape marketing measurement and experimentation in close partnership with our Growth Marketing Organization. As a thought ...

Triwill Group

Staff Data Scientist

San Francisco, CA · On-site

$220 - $280/hr

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical ...

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OpenX

Staff Data Scientist

New York, NY · On-site

A Staff Data Scientist is a senior technical leader whose impact spans multiple teams and business domains. In this role, you will solve complex marketplace problems, set technical direction for your ...

Taskrabbit

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

We are seeking a highly skilled and motivated Staff Data Scientist to join us, working closely with cross-functional teams from product, finance, engineering, risk and operations to provide data ...

Bloom Energy

Staff Data Scientist

Fremont, CA · On-site

$112K - $161K/yr

We are looking for a Staff Data Scientist, to join our team in one of today's most exciting technologies. This role will report to the Factory Engineering Director and based in Fremont, CA. This is a ...

Bloom Energy

Staff Data Scientist

Fremont, CA · On-site

$112K - $161K/yr

We are looking for a Staff Data Scientist, to join our team in one of today's most exciting technologies. This role will report to the Factory Engineering Director and based in Fremont, CA. This is a ...

CharterUP

Staff Data Scientist

Austin, TX · On-site

About the Role CharterUP is seeking a Staff Data Scientist to advance our data science capabilities within a growing marketplace team. You'll be a hands-on technical leader, designing and deploying ...

Taskrabbit

Staff Data Scientist

San Francisco, CA

$170K - $225K/yr

We are seeking a highly skilled and motivated Staff Data Scientist to join us, working closely with cross-functional teams from product, finance, engineering, risk and operations to provide data ...

Warby Parker

Staff Data Scientist

Manhattan, NY · On-site

Warby Parker is on the lookout for a Staff Data Scientist who will help shape marketing measurement and experimentation in close partnership with our Growth Marketing Organization. As a thought ...

Stord, Inc.

Staff Data Scientist

About the Staff Data Scientist Position Stord is revolutionizing the logistics industry with our cloud-based supply chain platform. We empower brands to compete and grow by providing end-to-end ...

Intuit

Staff Data Scientist

Mountain View, CA

Come join the Intuit Customer Success (ICS) Data Science team as a Staff Data Scientist. This role will be pivotal in shaping how we measure, grow, and optimize the externalization of Intuit's expert ...

Databricks

Staff Data Scientist

San Francisco, CA · On-site

The Staff Data Scientist will shape key data science areas, work closely with various teams to make data-driven decisions, and mentor junior data scientists while representing the data science ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

$194K - $262K/yr

Come join the Integration Platform team as a Staff Data Scientist. We are a platform team that connects Intuit's market-leading products, QuickBooks, Mailchimp, TurboTax, and Credit Karma, to an ...

Valero Energy

Staff Data Scientist

San Antonio, TX · On-site

$120 - $160/hr

- Staff Data Scientist (2600180) Valero is the best-in-class producer of essential fuels and products that are foundational to modern life. We invite you to join our ~10,000 employees to drive ...

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

As a Staff Data Scientist, you will be responsible for building and maintaining predictive models that support product development and business intelligence, while driving data science initiatives ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

Come join the Intuit Customer Success (ICS) Data Science team as a Staff Data Scientist . This role will be pivotal in shaping how we measure, grow, and optimize the externalization of Intuit ...

jobr.pro

Staff Data Scientist

Austin, TX · On-site

$220 - $250/hr

Title: Staff Data Scientist Reports to: Chief Product Officer Location: This position is based in Austin, TX (Hybrid: Monday, Wednesday, Friday in‑office). What You'll Do * Hands‑On Model ...

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$165K

$243.5K

How much do staff data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for staff data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How does a staff data scientist typically collaborate with cross-functional teams within an organization?

As a Staff Data Scientist, you will regularly partner with engineers, product managers, and business stakeholders to design and implement data-driven solutions. Collaboration often involves translating complex analytical findings into actionable insights for non-technical teams, participating in project planning, and guiding less experienced data scientists. Effective communication and project management skills are essential, as you may lead cross-team initiatives and ensure alignment between technical developments and business goals.

What is a staff data scientist?

Staff Data Scientists are experienced professionals who analyze complex data sets to uncover insights, guide business decisions, and develop advanced models or algorithms. They often lead technical projects, mentor junior team members, and collaborate across departments to solve high-impact problems. In addition to strong analytical and programming skills, Staff Data Scientists typically have a deep understanding of statistical methods, machine learning, and data engineering. Their work helps organizations leverage data to achieve strategic goals and improve products or services.

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

To thrive as a Staff Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field. Familiarity with tools such as Python, R, SQL, and platforms like TensorFlow or PyTorch, as well as experience with cloud-based data solutions, is essential. Strong communication, problem-solving abilities, and leadership skills help drive cross-functional projects and mentor junior team members. These competencies are crucial for developing impactful data solutions, guiding teams, and translating complex analyses into actionable business strategies.
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Staff Data Scientist jobs near you
Infographic showing various Staff Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 1% Temporary, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Staff Data Scientist

NAVA Software Solutions

Spring, TX • On-site

Full-time

Re-posted 10 days ago

Job description

NAVA Software solutions is looking for a Staff Data Scientist.
Details:
Staff Data Scientist
Location: Spring TX - Hybrid
Duration: Full time
Role Overview A highly skilled ML/AI Engineer or Data Scientist specializing in agentic AI possesses deep expertise in architecting and developing end-to-end intelligent solutions using AI agents, multi-agent workflows, and modern agentic platforms.
Core Technical Skills
  • Agentic AI & LLMs: Proficient in large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and orchestration frameworks to design autonomous, context-aware systems that reason, plan, and act. Skilled in prompt engineering, model fine-tuning, and integrating emerging AI capabilities - such as tools, function calling, memory, and real-time inference - into robust, production-grade architectures that drive automation and intelligent workflow optimization.
  • Traditional ML: Solid foundation in classical machine learning algorithms including regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost). Able to select, train, and evaluate the right model for structured data problems, applying feature engineering, cross-validation, and hyperparameter tuning while understanding the trade-offs between traditional approaches and deep learning solutions.
  • DevOps & MLOps: Proficient in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (Databricks, AWS, GCP, Azure). Experienced with infrastructure-as-code, automated testing, and deployment strategies such as blue-green and canary releases. Skilled in MLOps tooling - including experiment tracking (MLflow, Weights & Biases), model registries, and observability stacks - to ensure reliable, scalable, and auditable delivery of AI systems from development to production.

Experience Requirements
  • Overall Experience: 7-10 years of hands-on experience in machine learning, AI engineering, or data science, with a proven track record of delivering end-to-end AI solutions in production environments.
  • Agentic & GenAI Experience: 2-3 years of focused experience working with LLMs, agentic frameworks, and generative AI technologies, including real-world deployment of RAG pipelines or multi-agent systems.

Leadership & Collaboration
  • Team Leadership: Demonstrated experience leading and mentoring cross-functional AI/ML teams of 3-5 engineers, setting technical direction, conducting code reviews, and driving best practices across the team.
  • Stakeholder Management: Ability to communicate complex AI concepts clearly to non-technical stakeholders, align on priorities, and present findings and recommendations to senior leadership.
  • Project Ownership: Proven ability to own the full project lifecycle - from scoping and architecture through to deployment and iteration - while managing timelines, risks, and dependencies in an agile environment.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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