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Google Data Science Jobs in Madison, WI (NOW HIRING)

Danaher

Digital Analyst Internships

Whitewater, WI · On-site

$97K - $114K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Madison, WI

$99K - $117K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Madison, WI · On-site

$99K - $117K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Whitewater, WI

$97K - $114K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Datavant

Client Partner, Pharma

Madison, WI · On-site

$160K - $180K/yr

... sciences, focused on SaaS, Real World Data, or services. * Deep understanding of life sciences ... Experience with Google suite of productivity applications (Sheets, Slides, Docs) as well as ...

Cheez

Product Manager @ Social app startup

Madison, WI · On-site

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

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Showing results 21-40

All JobsGoogle Data Science JobsGoogle Data Science Jobs in Madison, WI

Google Data Science information

See Madison, WI salary details

$23.8K

$112.6K

$194.7K

How much do google data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for google data science in Madison, WI is $112,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,849.00 and $141,272.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are popular job titles related to Google Data Science jobs in Madison, WI? For Google Data Science jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Madison, WI look for? The top searched job categories for Google Data Science jobs in Madison, WI are:
Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,565 per year, or $54.1 per hour.

Staff Software Engineer, Fullstack

Findhelp, A Public Benefit Corporation

Madison, WI • On-site, Remote

$114K - $143K/yr

Full-time

Re-posted 29 days ago

Job description

The R&D Department is made up of different disciplines including software and database engineers, quality, technical implementation.  R&D designs and develops requested product features, fixes bugs within our platform, provides technical analysis and estimation, ensures successful integration installations, manages and monitors the health of our platform, and develops automation and tooling for efficient and reliable software development processes. R&D works cross-functionally with many other departments in the organization as a team to fulfill Findhelp's mission of connecting all people in need and the programs that serve them with dignity and ease.

As a Staff Software Engineer, you will be a technical leader within a cross-functional team, driving the architecture and end-to-end delivery of major, high-impact platform features that directly serve our mission. This role requires applying deep technical expertise to solve complex, ambiguous engineering challenges and mentor the team to raise the overall quality bar.

Responsibilities and Duties:

  • Design and Implement full-stack features from initial concept through deployment, prioritizing an intuitive and efficient end user experience.

  • Drive the planning and design of new services and platform components, with a keen focus on scalability, security, and maintainability across the entire system.

  • Explore and integrate machine learning and data science techniques to enhance service matching, platform search capabilities, and operational efficiency.

  • Deliver high-quality, well-tested code and engage in rigorous peer code reviews and pair programming sessions to uphold team standards and best practices.

  • Take full ownership of features, including monitoring in production, diagnosing issues, and driving iterative improvements post-launch.

  • Lead efforts to improve platform health by proactively identifying and executing on refactoring and modernization opportunities.

  • Collaborate closely with Product Managers, Designers, and other engineering teams in a highly cross-functional environment, often serving as the primary technical contact.

Qualifications:

  • 5-7 years of progressive professional experience as a Software Engineer.

  • Demonstrated ability to design, plan, and lead the technical execution of large-scale, cross-team projects with significant business impact.

  • Proven capacity to elevate the technical proficiency of the team, serving as a primary reviewer, technical lead, and mentor for engineers at all levels.

  • Expertise in architecting, documenting, and leading the implementation of new services and complex system components, emphasizing performance and longevity.

  • Strong communication skills, both written and verbal, for technical collaboration and documentation.

  • Deep expertise in relational databases (e.g., SQL, ORMs) and practical experience with non-relational databases.

  • Expertise in web performance strategies, optimization techniques, and observability/monitoring for mission-critical systems.

  • Strong experience with our primary stack: Python (or similar backend language) and ReactJS (or similar modern frontend framework).

  • Extensive practical experience designing and operating services within a microservices architecture or distributed system.

  • Direct experience with cloud platforms, specifically GCP (Google Cloud Platform), including managed services, security, and deployment (e.g., Kubernetes, Cloud Functions).

Physical demands and work environment

  • This job is based on-site in Austin, TX or Madison, WI with the opportunity to work remotely on Fridays.
  • This is largely a sedentary role. 
  • Limited travel may be required.
  • Standard office equipment is used, such as laptops, monitors and headsets, if needed.  
$114,400 - $143,000 a year
The salary range provided reflects the national average for this job title and does not represent compensation specific to Findhelp. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.
We value being together 
We believe being together enables stronger relationships, collaboration, and culture.
This position is in office and candidates must be located in Austin, Texas, Madison, Wisconsin, or Denver, Colorado
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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