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

Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible ... e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data ...

Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible ... e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data ...

Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible ... e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data ...

Data Analysis Tutor

Madison, WI · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Experience reading and writing object-oriented languages, such as Python, Java,Google Web Toolkit,

New

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Experience reading and writing object-oriented languages, such as Python, Java,Google Web Toolkit,

New

Sr. Software Engineer

Madison, WI · On-site

$123K - $162K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... C++, Java, JavaScript, Python, SQL, PL/SQL, .NET, Google Web Toolkit. * Applicants must be ...

Sr. Software Engineer

Madison, WI · On-site

$123K - $162K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... C++, Java, JavaScript, Python, SQL, PL/SQL, .NET, Google Web Toolkit. * Applicants must be ...

Outside Plant Engineer

Oregon, WI · On-site

$85 - $125/hr

Bachelor's degree in engineering or technical/science/mathematics fields preferred as an 'even ... Google Earth, or other mapping and drafting software preferred * Experience with corporate data and ...

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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 29, 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 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 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.

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, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $112,565 per year, or $54.1 per hour.

Data Analyst - WI

Madison, WI • On-site

Full-time

Posted 15 days ago


Job description

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to assisting community banks with their payment and financial service needs and 45 years of dedication to our community bank partners. In addition to specializing in providing correspondent banking products and services to community banks we also provide bank holding company loans, commercial loans, leasing, secondary mortgage products, cash letter/cash management, investment trading, safekeeping and portfolio accounting, correspondent credit services, international services, bank card products, and risk management solutions. Bankers' Bank has offices in Madison, WI, Des Moines, IA, Chicago, IL, Indianapolis, IN and Dublin, OH.
Bankers' Bank is seeking a Data Analyst to join our Madison, WI team. This role is responsible for advancing the Bank's data-driven capabilities by translating centralized data into actionable business insights. The role supports Product Owners and Business Leadership to develop innovative data solutions, perform exploratory analysis, and validate business assumptions.
Data Analysis (40%)
  • Conduct exploratory data analysis to identify trends, patterns, and segmentation opportunities across customers, products, and markets
  • Translate business questions into data-driven analysis and actionable insights
  • Collaborate with business units to understand project objectives and deliver analytical solutions
  • Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines
  • Validate assumptions and support decision-making through data

Data Enablement & Accessibility (30%)
  • Support internal stakeholders and users within the organization to access, interpret, and utilize data tools
  • Improve the accessibility, usability, and consistency of data tools and reporting solutions
  • Develop reports, dashboards, and other analytical tools to support business needs
  • Support training and education efforts to improve data literacy within the organization
  • Lead implementation and adoption of analytical tools and best practices

Data Governance & Quality (20%)
  • Establish and maintain data structures, quality standards, and governance practices
  • Identify data quality issues and partner with stakeholders to troubleshoot and implement improvements
  • Promote consistent use of well-managed, reliable data sources across business units

Advanced Analytics Support (10%)
  • Contribute to foundation work that supports the expansion of data science and machine learning initiatives
  • Assist in developing analytical approaches and preparing data for more advanced modeling initiatives

Ideal candidates will possess a bachelor's degree in data analytics, business, finance, statistics, computer science, or other relation field/ equivalent combination of education and experience sufficient to perform the functions of the job. Two to four years of experience in data analysis, business intelligence, analytics, or a related role. Experience working with data tools, reporting platforms, and dashboards (i.e., Zoho, Tableau, PowerBI, Domo, QuickSight, etc.). Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL). Familiarity with data structures, data governance, and data quality concepts. Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics/business intelligence certiciations (i.e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data+, etc.).