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Director Google Data Science Jobs in Wisconsin (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 ...

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture ... We are seeking an intern who is self-directed and will be comfortable supporting the data needs of ...

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture ... We are seeking an intern who is self-directed and will be comfortable supporting the data needs of ...

Manager of Data Science

Hudson, WI · On-site

$140 - $210/hr

CLA is looking to hire a Data Science Director to join our growing Internal IT team. About the role: CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ...

CLA is looking to hire a Data Science Director to join our growing Internal IT team. About the role: CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ...

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. • Experience in Statistical modeling. • Candidate will ...

Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. Experience in Statistical modeling. Candidate will be helping ...

WI · On-site

Work on the latest applications of data science to solve business problems in the Supply chain and ... Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google ...

WI · On-site

Work on the latest applications of data science to solve business problems in the Supply chain and ... Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google ...

Master's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field. Certification / License * Certification in data analytics or platforms (e.g., Google Data ...

WI · On-site

$130 - $160/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Experience working with Databricks, Azure, and Google Cloud Platform (GCP). * Demonstrated ...

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Director Google Data Science information

What does a director Google Data Science do?

A Director of Google Data Science leads teams of data scientists, analysts, and engineers to drive data-informed decision-making across the company. They are responsible for setting the strategic vision for data initiatives, overseeing the development of machine learning models and analytics solutions, and collaborating with cross-functional teams to solve complex business problems. This role also involves mentoring staff, managing large-scale projects, and ensuring that data practices align with Google's ethical standards and business goals.

What are the key skills and qualifications needed to thrive as a director Google Data Science?

To thrive as a Director of Google Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant industry experience. Mastery of programming languages like Python or R, familiarity with big data platforms (such as BigQuery), and experience with cloud computing tools are essential, along with strong project management skills. Outstanding leadership, communication, and strategic vision are crucial soft skills for guiding teams and collaborating with stakeholders across the organization. These skills and qualities are vital for driving impactful data-driven decisions, fostering innovation, and successfully leading large, diverse data science teams.

How does a director Google Data Science typically collaborate with cross-functional teams to drive data-driven decision-making?

As a Director of Google Data Science, you will frequently lead and coordinate with product managers, engineers, designers, and business leaders to translate business goals into actionable data projects. This collaboration involves setting data strategy, defining key metrics, and ensuring that insights are integrated into product roadmaps and business decisions. You’ll also mentor data scientists, facilitate communication between technical and non-technical stakeholders, and help foster a culture of experimentation and innovation. Ensuring alignment across teams and managing priorities is a common challenge, but it’s crucial for maximizing the impact of data science on organizational objectives.

What is the difference between Director Google Data Science vs Data Science Manager?

AspectDirector Google Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting visionTeam management, project execution, day-to-day operations
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data scienceBachelor's or Master's, strong technical and leadership skills
Work EnvironmentExecutive level, cross-functional collaboration, strategic planningTeam-focused, project management, technical oversight
Industry UsageCommon in large tech companies, corporate R&D divisionsWidely used across tech, finance, healthcare sectors

The main difference between a Director Google Data Science and a Data Science Manager lies in scope and focus. The Director typically handles strategic planning and oversees multiple teams, while the Manager focuses on project execution and team management. Both roles require strong technical backgrounds, but the Director's role is more executive and vision-oriented.

What are popular job titles related to Director Google Data Science jobs in Wisconsin?

For Director Google Data Science jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Director Google Data Science jobs in Wisconsin look for?

The top searched job categories for Director Google Data Science jobs in Wisconsin are:

What cities in Wisconsin are hiring for Director Google Data Science jobs?

Cities in Wisconsin with the most Director Google Data Science job openings:

Data Analyst - WI

Bankers' Bank

Madison, WI • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


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.).