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Statistics Data Science Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Conduct in-depth data analysis and build advanced statistical models to extract insights from large ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Candidate has expertise in AI, machine learning, deep learning, statistical data processing ...

THE TILTED CIRCLE LLC

Data Science

West Point, PA · On-site

Position: Senior Data Science - Lead Location: Rahway, NJ/WestPoint, PA (Hybrid) Duration: 6+ ... Strong understanding of statistical analysis, machine learning, and model evaluation . * Practical ...

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Mayo Clinic

Data Science Analyst

Phoenix, AZ

$99K - $148K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Candidate has expertise in AI, machine learning, deep learning, statistical data processing ...

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Statistics Data Science information

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How much do statistics data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for statistics data science 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.

What jobs can I get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical modeling, often within technology, finance, healthcare, or consulting industries.

What are the key skills and qualifications needed to thrive as a Statistics Data Scientist, and why are they important?

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What do you do in statistics and data science?

In statistics and data science, professionals analyze data to identify patterns, develop models, and generate insights that inform decision-making. They use tools like Python, R, and SQL, and often work with large datasets, applying techniques such as machine learning, data visualization, and statistical testing to solve complex problems. These roles typically require strong analytical skills and knowledge of statistical methods and programming.

Can you be a data scientist with a statistics degree?

Yes, a statistics degree can provide a strong foundation for a data scientist role, as it covers essential skills like data analysis, probability, and statistical modeling. Data scientists often also need programming skills in languages such as Python or R and experience with data visualization tools and machine learning techniques.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
More about Statistics Data Science jobs
What cities are hiring for Statistics Data Science jobs? Cities with the most Statistics Data Science job openings:
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Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, 73% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Statistical Methodology Data Scientist

Senior Statistical Methodology Data Scientist

Genentech

South San Francisco, CA • On-site, Remote

Full-time

Posted 21 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 71 rated pharmaceutical

Job description

This role is in the Statistical Methodology group, a core function within Product Development Data Sciences (PDD) that strives to enable the most impactful use of quantitative methodology at Roche through internal collaboration, external outreach, and continuous capability building.

The Opportunity

The Statistical Methodology group is a core function within Product Development Data Sciences, enabling the impactful use of quantitative methodology across Roche through internal collaboration, external outreach and continuous capability building.

As a Senior Statistical Methodology Data Scientist, you will play a strategic role in advancing the adoption of fit-for-purpose statistical methodologies that strengthen scientific rigor, evidence generation and decision-making across clinical development programs and portfolios. Acting as a methodological thought partner, you will collaborate with study teams, biostatisticians and cross-functional stakeholders to identify needs, prototype solutions and support scalable adoption through training, templates, frameworks and tools.

In this role, you will:

  • Provide expert methodological guidance to study teams on complex study design, analysis strategies and quantitative decision-making across programs.

  • Lead the development and implementation of innovative statistical approaches, such as estimand frameworks, trial simulations, covariate adjustment strategies, model-based projections and quantitative go/no-go frameworks.

  • Translate methodological insights into scalable solutions, including templates, training, open-source tools and best practices that strengthen analytical excellence across the organization.

  • Support portfolio-level analyses, scenario modeling and quantitative frameworks that inform clinical strategy, optimize development decisions and enable evidence-based prioritization.

  • Represent Roche externally through scientific collaborations, consortia, working groups, publications or regulatory-facing initiatives, helping the organization stay at the forefront of methodological advances.

Who You Are

  • You hold a PhD, in Statistics, Data Science, Computer Science or another related quantitative discipline.

  • You have 2+ years of experience designing and applying advanced statistical or data science methods to complex biomedical data, ideally in clinical trial research or pharmaceutical development.

  • You bring strong expertise in statistical computing, advanced modeling and the development of novel or fit-for-purpose analytical solutions for complex datasets.

  • You are recognized as a technical expert and trusted thought partner, with the ability to translate complex methodology into clear recommendations for scientific, clinical and cross-functional stakeholders.

  • You have experience contributing to internal standards, capability building, training or strategic initiatives, and you enjoy mentoring others to strengthen methodological understanding and adoption.

  • You bring a collaborative and inclusive mindset, show respect for cultural differences in a global environment, and ideally have a track record of publications, presentations or thought leadership in emerging areas such as AI/ML, real-world data integration or predictive biomarkers.

Are you ready to make a difference for our patients? We are looking forward to your application - join us now and become part of our journey!

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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