1

Director Google Data Science Jobs in Michigan (NOW HIRING)

This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering. The ...

This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering. The ...

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data ... Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related ...

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Master's degree or foreign equivalent in Industrial and Operations Engineering, Computer Science ... Google Cloud platform services for deploying, managing, and scaling applications and data workflows ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Google Cloud Platform - Familiarity with advanced GCP services beyond core compute and storage ... Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to ...

Showing results 41-60

Director Google Data Science information

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 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.

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 Michigan?

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

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

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

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

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

Data Scientist - Palantir Developer

Kla

Ann Arbor, MI • On-site

$110K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking a highly motivated Data Scientist with hands-on experience developing solutions in Palantir Foundry. This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering.

The successful candidate will work directly with business stakeholders to understand operational challenges, gather requirements, translate business processes into Foundry solutions, and develop scalable analytics, applications, and AI-enabled workflows. This individual must be comfortable working independently, driving discussions with business partners, and delivering solutions from concept to deployment.

  • Partner directly with business stakeholders to gather, document, and refine business requirements.

  • Translate business processes and operational needs into scalable Palantir Foundry solutions.

  • Design and develop Foundry-native applications using Workshop, enabling business users to interact with data, workflows, and operational processes.

  • Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications, and operational workflows.

  • Build analytical models, dashboards, and data products that enable business decision-making.

  • Support AI and machine learning use cases within the Foundry ecosystem.

  • Collaborate with cross-functional teams including business users, IT, data engineers, and other Foundry developers.

  • Perform data validation, troubleshooting, testing, and root cause analysis.

  • Drive projects independently while effectively managing stakeholder expectations and timelines.

  • Create and maintain technical and functional documentation.

  • Promote best practices for data governance, solution design, and Foundry development.

Minimum Qualifications

  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.

  • 2+ years of hands-on Palantir Foundry development experience.

  • Maximum 5 years of total professional experience in Data Analytics, Data Science, Data Engineering, or related fields.

  • Experience building data pipelines, transformations, and operational applications in Foundry.

  • Strong SQL skills and experience working with large datasets.

  • Experience using Python for data analysis, automation, or machine learning.

  • Strong understanding of data modeling and business process transformation.

  • Demonstrated ability to work independently with business stakeholders.

  • Excellent communication, facilitation, and requirements gathering skills.

  • Ability to convert ambiguous business problems into technical solutions.

Base Pay Range: $110,000.00 - $187,000.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.