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Director Google Data Science Jobs (NOW HIRING)

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

Total Wine & More is seeking a Director of Data Science to join our Technology team in our Bethesda, MD office. This role will lead multiple data science team members with a significant portfolio of ...

PURE Insurance

Director, Data Science

PURE is seeking a Director, Data Science to help professionalize, scale, and lead our data science practice as a true engineering discipline. This is a foundational role at a pivotal moment: our VP, ...

Lincoln Financial

Director, Data Science

Charlotte, NC · Hybrid

As Director, Data Science, you will lead a small, experienced team of data scientists and analytics professionals whose work bridges the most technical disciplines and the realities of running the ...

Lincoln Financial

Director, Data Science

Charlotte, NC · Hybrid

As Director, Data Science, you will lead a small, experienced team of data scientists and analytics professionals whose work bridges the most technical disciplines and the realities of running the ...

Lincoln Financial

Director, Data Science

Charlotte, NC · On-site

As Director, Data Science, you will lead a small, experienced team of data scientists and analytics professionals whose work bridges the most technical disciplines and the realities of running the ...

Fidelity Investments

Director, Data Science

Durham, NC · On-site

... as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Note: Fidelity will not provide immigration sponsorship for this position. Are you interested in operating as a senior ...

Meta

Data Science Director

Bellevue, WA

$253K/yr

Data Science Director Responsibilities: * Define the Data Science operating model across a portfolio of platforms -- deciding what the team should look like at each stage of scale and where to invest ...

Fidelity Investments

Director, Data Science

Durham, NC · On-site

... as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business ...

Walmart

Director, Data Science

San Bruno, CA · On-site

$169K - $338K/yr

The (USA) Director, Data Science leads the development and deployment of advanced analytical models and data-driven strategies to support business objectives. This role oversees the design, testing ...

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Director Google Data Science information

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$54K

$154.9K

$244K

How much do director google data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for director google data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

How does a Director of 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 of 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 of Google Data Science, and why are they important?

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.

Can data scientists make $300k?

Data scientists, including those in senior roles like Director of Data Science, can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and data analysis, and working at large tech companies or in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires leadership responsibilities and a strong track record of impact. However, such salaries are not universal and depend on factors like location, industry, and individual expertise.

What is the 80 20 rule in Data Science?

The 80/20 rule in Data Science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency and effectiveness.

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 is a director's salary at Google?

A Director of Data Science at Google typically earns a base salary ranging from $150,000 to $250,000 annually, with total compensation often exceeding $300,000 when including bonuses and stock options. Compensation varies based on experience, location, and performance, and the role requires strong leadership and technical skills in data analysis and machine learning.

How much does Google pay a data scientist?

Google data scientists, including those in senior roles like Data Science Directors, typically earn a base salary ranging from $120,000 to over $200,000 annually, with total compensation often exceeding $250,000 when bonuses and stock options are included. Compensation varies based on experience, location, and level within the company, and roles often require proficiency in machine learning, data analysis, and programming tools like Python or R.
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Director Google Data Science jobs near you
Infographic showing various Director Google Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.
Director, Data Science

Director, Data Science

Total Wine & More

Bethesda, MD • On-site

Full-time

Posted 15 days ago

Total Wine & More rating

6.6

Company rating: 6.6 out of 10

Based on 184 frontline employees who took The Breakroom Quiz

226th of 724 rated retailers

Job description

Job Summary:
Total Wine & More is seeking a Director of Data Science to join our Technology team in our Bethesda, MD office. This role will lead multiple data science team members with a significant portfolio of initiatives to design, develop, and scale advanced analytics, machine learning, and AI solutions that drive meaningful business outcomes.
Responsibilities:
• Spearhead the strategy and execution of enterprise-wide data science, machine learning, and AI initiatives, ensuring alignment with long-term organizational goals and business priorities.
• Lead and manage multiple high-impact analytics programs simultaneously, establishing priorities, allocating resources, and driving successful execution across teams.
• Own the technical direction, architecture, and scalability of advanced analytics, AI, and ML solutions to ensure reliability, governance, and business value.
• Direct the development and implementation of enterprise standards for model development, validation, governance, monitoring, and lifecycle management.
• Partner with senior business and technology leadership to identify strategic opportunities, solve complex business challenges, and influence data-driven decision making.
• Drive innovation by evaluating emerging technologies, advanced analytics capabilities, and AI solutions that improve operational effectiveness and business performance.
• Oversee the end-to-end delivery of analytics and ML solutions, including problem framing, development, deployment, adoption, and ongoing performance optimization.
• Act as a trusted advisor to executive leadership by providing strategic guidance on analytics opportunities, organizational risks, technical priorities, and enterprise transformation initiatives.
Qualifications:
Required:
• Bachelor's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related field required or equivalent years of experience
• 7-10 years Experience in data science, predictive analytics, machine learning, or related fields, with a record of delivering production-grade solutions
• 3-6 years Experience leading teams, projects, or functional portfolios and partnering with senior stakeholders on complex initiatives
• Advanced Analytics and Machine Learning Leadership: Strong expertise guiding teams in developing, deploying, and scaling ML and AI solutions that deliver measurable business impact.
• Technical Architecture and Decision-Making: Ability to make informed trade-offs across modeling approaches, data pipelines, tooling, and infrastructure to support scalable solutions.
• People and Team Development: Proven ability to develop managers and senior ICs, coach technical and leadership growth, and foster a culture of accountability and innovation.
• Production ML and MLOps: Experience overseeing CI/CD pipelines, model monitoring, retraining strategies, containerization, and cloud-based deployments.
• Cross-Functional Influence: Demonstrated success influencing product, technology, and business leaders, translating complex technical concepts into actionable insights.
• Operational Excellence and Governance: Experience implementing standards for model quality, fairness, transparency, documentation, and lifecycle management.
• Strategic Thinking with Execution Discipline: Ability to connect long-term analytics strategy to near-term delivery, balancing innovation with reliability and scale.
Preferred:
• Master's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related field preferred
Company:
& ‘ ®—the country‘s largest independent retailer of fine wine. Founded in 1991, the company is headquartered in Potomac, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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About Total Wine & More

Sourced by ZipRecruiter

Total Wine & More is the country's largest independent retailer of fine wine, beer and spirits, and we continue to grow our footprint year over year. Total Wine offers exciting and unique career opportunities across the country and in our corporate office. Our strength is our people. We have a commitment to training and career growth, all in an environment that values new ideas and teamwork. If you share our entrepreneurial spirit and a passion for providing best-in-class customer experience, take a moment to apply or learn more at www.TotalWine.com/About-us/Careers!

Industry

Alcoholic beverages wholesalers

Company size

10,000+ Employees

Headquarters location

North Bethesda, MD, US

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