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Director Google Data Science Jobs in Wisconsin (NOW HIRING)

Generac

Principal Data & AI Architect

Waukesha, WI

Collaborate with data scientists, data engineers, business functional and product teams to ... Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g ...

New

Trade Station Group, Inc.

WI · On-site

$244 - $279/hr

Deliver, not just direct - stay hands‑on and personally ship the hardest, highest‑leverage data science, analytics, and data‑product work, setting the pace and the technical bar by delivering ...

Robert Half

Data Architect (GCP)

Appleton, WI · On-site

$60.75 - $78/hr

... Google Cloud Platform and BigQuery. The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and ...

Google Inc.

WI · On-site

$138 - $201/hr

Google - Wichita Falls, TX, USA Job Overview This role is not remote; candidates must be able to ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...

New

17a

Data Scientist and Program Analyst

Wausau, WI · On-site

... with direct civic impact, 17A is for you. The Opportunity: 17A is supporting a mission-driven ... Analyst or Associate at a top‐tier strategy or boutique data science / analytical consulting firm ...

Socket.dev

WI · On-site

$140 - $210/hr

Master's degree in Statistics, Economics, Finance, Data Science, or a related quantitative field ... Direct experience managing analytics environments that span both print and digital products ...

17a

Data Scientist and Program Analyst

Wausau, WI · On-site

... with direct civic impact, 17A is for you. The Opportunity: 17A is supporting a mission-driven ... Analyst or Associate at a top‐tier strategy or boutique data science / analytical consulting firm ...

Healthcareis

WI · On-site

$120 - $150/hr

Director of Business Intelligence and Analytics Location: On-site, Texas Responsibilities: * Ensure ... Maintain ownership of the internal data warehouse, analytics, data architecture, and data science.

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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.

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

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Director Google Data Science jobs near you

Principal Data & AI Architect

Generac Power Systems, Inc.

Waukesha, WI • On-site

Full-time

Posted 4 days ago

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
The Principal Data & AI Architect will be responsible for designing, developing, and implementing advanced Data & AI solutions and architectures that align with the company's strategic goals and objectives.
This role requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to deliver scalable and innovative AI solutions.
Major Responsibilities :
  • Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI systems. Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud.
  • Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment with business objectives.
  • Collaborate with data scientists, data engineers, business functional and product teams to integrate Data & AI solutions into production environments.
  • Advice, oversee the evaluation and adoption of Data & AI technologies, tools, and platforms.
  • Serve as the technical leader and mentor to Data & AI and engineering teams.
  • Deliver scalable, secure, and optimized Data & AI solutions.
  • Lead Data & analytic literacy of the organization and serve as a translator of deep technical concepts into simple business vernacular.
  • Be aware and lead industry trends and advancements in Data & AI to help maintain a competitive edge.
  • Communicate complex technical concepts to non-technical stakeholders effectively.

This is an individual contributor role.
Minimum Job Requirements:
Education
Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field also acceptable.
Work Experience
  • 8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect role.
  • Proven track record of designing and deploying large-scale Data & AI systems in production environments.
  • Experience leading cross-functional teams in the delivery of complex AI projects.
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Knowledge / Skills / Abilities
  • Must be deeply curious, desire to experiment.
  • Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research.
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Ability to design scalable, secure, and efficient AI architectures.
  • Exceptional problem-solving and analytical skills.
  • Strong leadership and mentorship abilities, with a focus on fostering innovation and collaboration.
  • Excellent communication skills, capable of translating technical concepts to diverse audiences.
  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Preferred Job Requirements:
Education
  • Ph.D. In Operations Research, Data Science, or a closely related field.
  • Master's degree in a relevant field with significant research or project work in AI or machine learning.

Certification / License
  • Relevant certifications such as AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate.

Work Experience
  • Experience with generative AI and reinforcement learning.
  • Knowledge / Skills / Abilities
  • Publications or patents in AI, machine learning, or related fields.
  • Familiarity with DevOps practices and MLOps pipelines for AI deployment.
  • Experience in industries such as healthcare, finance, or technology.

Physical Requirements and Working Conditions
While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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