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

TrafficCast

Java Developer

Madison, WI

$51.50 - $66.50/hr

... to Google/WAZE, GM OnStar, Sirius XM Satellite Radio, and TV stations. Now covering over 880,000 ... For the more granular data required by public agencies for planning and operations, TrafficCast ...

TrafficCast

Java Developer

Madison, WI · On-site

$51.50 - $66.50/hr

... to Google/WAZE, GM OnStar, Sirius XMSatellite Radio, and TV stations. Now covering over 880,000 ... For the moregranular data required by public agencies for planning and operations ...

Wisconsin

iSchool Associate Director

Madison, WI

This position involves expertise in supervision of staff, education administration, data-driven ... It hosts the new Information Science major as well as two professional masters programs and a PhD ...

Appian Corporation

Principal Consultant

Madison, WI · On-site

$225K/yr

... relational data models in production, developing APIs to integrate with multiple systems ... A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree

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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.

Senior Software Engineer, Windows/Desktop Applications - Madison, WI, USA

Speechify

Madison, WI • On-site

$131K - $163K/yr

Full-time

Re-posted 3 days ago

Job description

Mission
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
What You'll Do
  • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and - when needed - C++.
  • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.
  • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.
  • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.
  • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases.
  • Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems - and propose robust architectural or design solutions.

An ideal candidate should have
Required:
  • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML - and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
  • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
  • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
  • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
  • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
  • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
  • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
  • A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:
  • Experience with writing automated tests for UI - unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
  • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
  • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
  • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
  • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
  • Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer
  • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
  • A collaborative, flat-structure engineering culture - you are not just a coder, but a builder and a decision-maker.
  • Opportunities to lead - mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
  • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
  • A purpose-driven mission: building software that's reliable, accessible, and user-centered - making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Apply