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Staff Data Scientist Jobs (NOW HIRING)

Overview 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 ...

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 ...

As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders across ICS and VEP to identify, validate, and refine innovative strategies ...

Staff Data Scientist

San Francisco, CA · On-site

$130 - $180/hr

Staff Data Scientist leads machine learning and decisioning systems powering personalization, lifetime value (LTV) prediction, and real-time commercial optimization across our marketplaces. This role ...

New

Staff Data Scientist Join Us at Pura-Reimagining Fragrance for the Future At Pura, we believe life is better when it smells good. Fragrance has the unique power to transform spaces, elevate moods ...

Staff Data Scientist Join Us at Pura--Reimagining Fragrance for the Future At Pura, we believe life is better when it smells good. Fragrance has the unique power to transform spaces, elevate moods ...

New

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and ...

Staff Data Scientist, Finance About the Team The Finance Data Science team builds the forecasting and decision systems that power Snowflake's financial planning, operating cadence, and long-term ...

New

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and ...

Staff Data Scientist Join Us at Pura--Reimagining Fragrance for the Future At Pura, we believe life is better when it smells good. Fragrance has the unique power to transform spaces, elevate moods ...

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and ...

They are seeking a Staff Data Scientist to join their Ads Product Analytics team, responsible for maximizing revenue from advertising solutions and providing actionable insights through data analysis.

Staff Data Scientist

Melbourne, FL · On-site

$168.20 - $252.20/hr

Northrop Grumman Aerospace Systems has an opening for a Staff Data Scientist Instrumentation/Staff Data Scientist Instrumentation to join our team of qualified, diverse individuals. This position ...

New

They are seeking a Staff Data Scientist to solve complex marketplace problems, set technical direction, and mentor other scientists while working on high-impact data science initiatives.

The Staff Data Scientist will lead the design and deployment of scalable data science and machine learning solutions to enable data-driven decision making. Responsibilities : • Lead end-to-end data ...

They are seeking a Staff Data Scientist to solve complex marketplace problems, set technical direction for their domain, and mentor other scientists while partnering with engineering and product ...

They are seeking a Staff Data Scientist to join their Data Science team, where the role involves solving complex marketplace problems, setting technical direction, architecting ML systems, and ...

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

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 ...

Staff Data Scientist

Manhattan, NY · On-site

$195.50 - $218.50/hr

OpenX is seeking a Staff Data Scientist to join our Data Science team. The role involves working on hundreds of billions of ad requests daily, applying advanced machine learning, deep learning, and ...

New

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Staff Data Scientist information

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$46K

$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.
More about Staff Data Scientist jobs
What cities are hiring for Staff Data Scientist jobs? Cities with the most Staff Data Scientist job openings:
What are the most commonly searched types of Staff Data Scientist jobs? The most popular types of Staff Data Scientist jobs are:
What states have the most Staff Data Scientist jobs? States with the most job openings for Staff Data Scientist jobs include:
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

Intuit

Mountain View, CA

$194K - $262K/yr

Full-time

Re-posted 10 days ago


Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

87th of 242 rated software companies


Job description

Overview


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 ecosystem of 20,000+ data providers and apps. In this role, you will be responsible for driving key analyses, projects, reporting, and processes leading to insights that focus on the performance of our platform and how we’re solving customer problems.


Responsibilities

We are seeking a Staff Data Scientist to deliver impactful insights into business performance and growth opportunities, build predictive models and insights, and drive measurable outcomes. This role requires a strong background in quantitative analysis, data-driven decision-making, and expertise in working with large data sets.

  • Partner closely with Business, Product Management, Product Development, and Design teams to lead data science projects end-to-end, leveraging the key steps of data analytics:  requirement gathering, data acquisition (ETL), dashboard development, advanced analysis, presenting findings, driving to impact

  • You’ll translate complex business requirements into a roadmap with key milestones and deliverables

  • Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation.

  • Design and develop dashboards, and insure that data is visualized and presented in a way that contributes to insights and clear communication with the business

  • Develop clear articulation of business-relevant analysis from data for all levels – executive levels to granular reports

  • Present to senior leaders within and outside the organization, telling a story with data


Qualifications

  • BS or MS degree in Statistics, Mathematics, Computer Science, or a related field.
  • 8+ years of experience in data science or product analytics (preferably in fintech), with a strong foundation in predictive modeling, customer segmentation, and experimentation.
  • Ability to formulate data-backed strategies that will drive step-function growth for the business and increase customer benefit.
  • Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors.
  • Experience in designing and interpreting complex experiments beyond traditional A/B testing methods.
  • Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work.
  • Outstanding communication skills with the ability to influence decision-makers and build consensus with teams.
  • Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment.

Technical Skills:

  • Advanced SQL skills and proficiency in visualization tools such as Qlik, Quicksight, Tableau, Plotly Dash.
  • Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like NumPy, Pandas, Scikit-learn, etc.).
  • Experience with Causal inference techniques such as propensity score matching, difference-in-differences, and synthetic control methods.
  • Experience with Generative AI and other evolving technologies to accelerate insights from multi-modal data.

Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $194,000 - $262,500

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