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Director Google Data Science Jobs (NOW HIRING)

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... Google Ads Data Hub, or comparable), and structure Match-Market Tests (MMTs) and Brand Lift Studies ...

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.) * Help develop ...

... in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis • Proficiency in Python or R for data analysis ...

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.) * Help develop ...

As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of ...

The Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will ...

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other ...

As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of ...

A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis. * Proficiency in Python or R for ...

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

The Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will ...

A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis. * Proficiency in Python or R for ...

As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of ...

Director Data Science Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry: Data Science A Fortune 500 is looking for a proven Data Science leader to create a new Data Science team.

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other ...

As Director of Data Science at Norstella, you will set the strategic vision for our data science capabilities and lead a high-performing team of data scientists and engineers. You will be a technical ...

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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 May 31, 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.

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.

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 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.

More about Director Google Data Science jobs
What cities are hiring for Director Google Data Science jobs? Cities with the most Director Google Data Science job openings:
What are the most commonly searched types of Google Data Science jobs? The most popular types of Google Data Science jobs are:
What states have the most Director Google Data Science jobs? States with the most job openings for Director Google Data Science jobs include:
Infographic showing various Director Google Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

Director, Data Science

Novus Print Media

Chicago, IL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Job description

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and analytics across a portfolio of analytics-engaged clients. This is a senior, hands-on role spanning the full breadth of modern marketing measurement including marketing mix modeling, multi-touch attribution, incrementality and lift studies, clean rooms, creative effectiveness analysis, diminishing returns, and custom tools designed to fit each client question.

You will select the right methodology for each engagement, build production-quality solutions in Python, and use AI-assisted workflows (Claude, MCP, Snowflake Cortex) to multiply analytical throughput. The role offers opportunity to grow into team leadership over time as the discipline expands.

PRIMARY RESPONSIBILITIES:

Measurement & Modeling

  • Design, build, and validate measurement solutions across a wide range of approaches — marketing mix modeling, multi-touch attribution, incrementality and lift testing, causal inference, geo experimentation, creative effectiveness, and related methods
  • Operate across both proprietary and open-source methodologies; select the right approach for each client question
  • Stand up clean room and privacy-preserving measurement workflows (Snowflake Data Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, or comparable), and structure Match-Market Tests (MMTs) and Brand Lift Studies (BLS) where they fit the client question
  • Build custom analytical tools when platform solutions fall short, including:
    • Creative effectiveness analysis — wear-in/wear-out, attention metrics, creative tagging
    • Diminishing returns curves, budget optimization, and scenario planning
    • Custom causal inference designs — incrementality, geo holdouts, synthetic controls
    • Audience, channel, and creative mix analyses, and productionized tools that support the broader Analytics team

Client Partnership

  • Serve as a senior analytical presence in client relationships, supporting the Analytics team in translating complex model outputs into clear strategic recommendations
  • Participate in QBRs, measurement planning sessions, and executive-level presentations
  • Collaborate with media strategy, planning, and activation teams to ensure measurement is embedded in the planning cycle, not bolted on

Practice Development

  • Define and uphold standards for data science methodology, tooling, documentation, and QA
  • Evaluate off-the-shelf platforms for fit and develop custom solutions where appropriate, balancing modeling velocity with methodological quality
  • Share methodology and modeling expertise across the broader Data & Analytics team; contribute to a culture of analytical rigor and intellectual curiosity
  • Stay current on the measurement landscape and bring forward-looking POVs on platform changes, signal loss, and evolving best practices
REQUIREMENTS:
  • Hands-on track record across multiple advanced measurement methodologies, including MMM, attribution, incrementality, causal inference, creative effectiveness, clean rooms, and emerging methods
  • Proficiency in statistical modeling and a working understanding of Bayesian and frequentist approaches relevant to media measurement
  • Strong command of Python for production-quality modeling and tool development
  • SQL fluency and comfort working with large, fragmented datasets and modern cloud data warehouses (Snowflake or comparable)
  • Fluent in the digital ad ecosystem, including its data sources, measurement concepts, and ontology, across paid social, paid search, programmatic, and linear/streaming
  • Active, hands-on practitioner with recent direct ownership of model development and tool building
  • Working command of modern AI coding assistants (Claude, Copilot, agent-based workflows) for accelerating analysis, modeling, and tool development
  • Excellent communication skills — able to explain a partial F-test to a client-side data scientist and a budget reallocation to a CMO with equal clarity
  • Bachelor’s or advanced degree in mathematics, statistics, computer science, economics, or a related quantitative field 

PREFERRED:

  • Direct experience with MMM partners & tools such as Arima, OptiMine, Meridian, etc.
  • Familiarity with Snowflake and modern data stack tooling
  • Experience with creative analytics frameworks (wear-in/wear-out, attention metrics, creative tagging)
  • Background working with retail, CPG, financial services, or other data-intensive verticals
  • Exposure to privacy-preserving measurement approaches (clean rooms, modeled conversions, aggregated signals)
  • 8–12 years of professional experience in marketing analytics, data science, or a closely related field
  • Agency-side or media measurement experience is desirable, but not required

Please Note: This is a hybrid position requiring a combination of in-office work at our Chicago location and remote work from home. The specific schedule will be finalized upon hire.  We are only looking for candidates in/around the Chicago Metro Area and do not offer relocation assistance.

WHY WORK AT NOVUS: We Bring Brands To Where People Live Their Lives.

NOVUS is an independent local media planning and buying agency. We are focused on local media of all types including video, audio, OOH, digital, and print. We have carved out a unique position in the marketplace; with comprehensive data sets, proprietary tools and some of the best strategists in the industry, NOVUS builds and executes plans that achieve remarkable results.

NOVUS provides a collaborative work environment, with career advancement potential and offers an array of benefits as well as considerable time off allowances. Additionally, as a mid-sized agency, team members have direct exposure to senior management on a regular basis and they get the opportunity to work on a range of assignments with significant responsibilities. By joining one of the premier media companies in the industry, you'll be part of a team that is passionate, engaged, forward-thinking and seizing opportunities daily.

 

Position Salary

We are committed to providing salary ranges for all open positions. Please note that the specific compensation for this role will be determined based on your experience, qualifications, location, and internal equity considerations. The salary range for this position is: $180,000 - $210,000. This range reflects the base salary for this position.

 

NOVUS Benefits

NOVUS offers a full array of health care and wellness benefits, which currently includes medical, prescription, dental, vision, life and accidental death & dismemberment insurances, short and long-term disability, pre-tax flexible spending accounts, a health savings account, legal services, identity theft protection and an employee assistance program. Eligible employees are those that are full-time salaried or part-time salaried employees working 30 hours per week or more, as well as those whose eligibility is required by applicable state law.  A group retirement savings plan is also available to all salaried employees.  While the Company continually seeks to improve upon and add to its current benefits suite, it believes you will find the benefit programs as comprehensive as any in the industry.

A Word on Diversity

Novus Media is committed to a policy of Equal Employment Opportunity and will not discriminate against and applicant or employee of the Company, on the basis of race, religion, ethnicity, national origin, ancestry, marital or family status, age, gender identity or expression, gender, sexual orientation, disability, or any other characteristic protected by law.  Our agency is committed to creating a workplace where every employee feels welcomed, respected, and valued. We embrace diversity in all its forms, and we strongly encourage people from a variety of backgrounds to apply.