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Google Data Science Jobs (NOW HIRING)

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, ...

AECOM

Reporting Data Scientist

Sacramento, CA · On-site

... in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely ... Data Analyst, Coursera/Google Data Analytics) • Support Board‑level reporting needs in ...

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$115.9K

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How much do google data science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for google data science in the United States is $115,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $145,500.00 per year, depending on experience, location, and employer.

Can a Data Scientist work in Google?

Yes, Data Scientists can work at Google, where they analyze large datasets, develop machine learning models, and use tools like Python and TensorFlow. Google typically requires relevant experience, strong analytical skills, and a background in computer science or related fields for data science roles.

How much do data scientists make at Google?

Data scientists at Google typically earn a median salary ranging from $120,000 to $160,000 per year, depending on experience, location, and level. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for technical roles requiring skills in machine learning, programming, and data analysis.

What are the key skills and qualifications needed to thrive in the Google Data Science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What is a Google Data Science job?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google Data Science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

More about Google Data Science jobs
What cities are hiring for Google Data Science jobs? Cities with the most 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 Google Data Science jobs? States with the most job openings for Google Data Science jobs include:
What job categories do people searching Google Data Science jobs look for? The top searched job categories for Google Data Science jobs are:
Google Data Science jobs near you
Infographic showing various 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 $115,933 per year, or $55.7 per hour.
Reporting Data Scientist

Reporting Data Scientist

Luster National

Sacramento, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

Job description

About the Position
We're seeking a Reporting Data Scientist to support large, complex infrastructure programs, including highways, roads, bridges, transit (rail and bus), international airports, and water/wastewater projects delivered through both traditional and alternative project delivery methods. This role will support enterprise-level project controls and program management functions by developing advanced analytics, predictive models, automated reporting solutions, and executive dashboards that transform complex project, program, financial, cost, schedule, and risk data into actionable business intelligence. The successful candidate will help drive data-informed decision-making across some of the nation's largest infrastructure programs. Based on the source materials, this role will support program-wide analytics, forecasting, reporting automation, and visualization initiatives within a Project Controls organization.
This is a long-term, full-time, on-site position located in Sacramento, CA.
Responsibilities may include, but are not limited to, the following:
  • Develop, maintain, and continuously improve enterprise-level data models, analytics frameworks, reporting workflows, and performance measurement systems.
  • Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management.
  • Design, develop, and maintain Power BI dashboards, visualizations, and automated reporting solutions for executive leadership and project stakeholders.
  • Analyze large and complex datasets to identify trends, risks, anomalies, performance drivers, and opportunities for process improvement.
  • Partner with project controls, scheduling, cost management, risk management, finance, and program management teams to integrate data from multiple sources and produce unified analytical outputs.
  • Support monthly, quarterly, and executive-level reporting cycles through preparation, validation, and analysis of project and program data.
  • Identify opportunities to automate manual reporting processes and improve data accessibility, quality, and efficiency.
  • Establish and maintain data governance, quality assurance, and validation procedures to support reliable decision-making.
  • Collaborate with project teams and stakeholders to collect, validate, consolidate, and interpret data from multiple systems and platforms.
  • Present analytical findings, dashboard insights, trends, and recommendations to executive management and other stakeholders.
  • Support board-level reporting requirements and strategic program performance initiatives.
  • Contribute to PMIS, reporting, analytics, and business intelligence improvements across major capital infrastructure programs.

Attributes
  • Excellent written and verbal communication and interpersonal skills.
  • Excellent analytical thinking, problem-solving, and data storytelling capabilities.
  • Collaborative mindset that fosters teamwork, trust, positive relationships, and effective coordination across cross-functional stakeholders.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines simultaneously.
  • Strong attention to detail and commitment to accuracy, quality, accountability, and continuous improvement.

Minimum Qualifications
  • Master's degree in data science, computer science, statistics, engineering, business analytics, or related field.
  • 8+ years of experience performing data analytics, business intelligence, reporting, predictive modeling, or data science functions in large infrastructure construction programs, collaborating with (at a minimum) program controls, program scheduling, and program risk management teams.
  • Experience supporting major capital infrastructure, transportation, transit, aviation, water/wastewater, or construction programs.
  • Strong knowledge of project controls, management reporting, business intelligence, data management, and performance measurement methodologies as they relate to heavy civil infrastructure programs.
  • Demonstrated experience developing executive-level reporting, dashboards, analytics, and data visualization solutions.
  • Experience implementing data strategies, analytics workflows, reporting processes, and data governance practices.
  • Experience integrating data from multiple systems and sources to create unified reporting and analytical outputs.
  • Experience developing predictive models, forecasting tools, statistical analyses, and performance metrics.
  • Strong proficiency with Python, R, SQL, or similar programming and analytics tools.
  • Proficiency with Power BI and other dashboarding, visualization, and business intelligence platforms.
  • Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, Excel, PowerPoint, etc.).

Preferred Qualifications
  • Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, or similar professional certification.
  • Experience leading analytics initiatives or contributing to analytics/reporting teams supporting major infrastructure programs.
  • Experience supporting project controls, cost management, scheduling, risk management, or PMO functions.
  • Experience developing Kanban-style, Agile, or workflow visualization dashboards.
  • Experience with PMIS, Oracle, Primavera P6, enterprise reporting platforms, or large-scale business intelligence environments.
  • Proficiency with desktop publishing software, Visio, and professional graphics software.

Compensation Details
Expected Salary: $140k-$210k/year ($67-$101/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate's level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.
Just LOOK at the Benefits We Offer!
  • Unlimited flexible time off
  • Paid holidays
  • Paid parental leave
  • Health, dental, and vision insurance
  • Flexible spending accounts (healthcare and dependent or elder care)
  • Long-term disability insurance
  • Short-term disability insurance
  • Life insurance and accidental death and dismemberment
  • 401(k) plan with guaranteed employer contribution
  • Formal career planning and development program
  • $2,500 annually toward professional development
  • Wellness program with monthly wellness stipend
  • Company cell phone or cell phone plan reimbursement
  • Free personalized meal planning and nutrition support with a registered dietitian
  • Free personal financial planning services
  • Employee assistance program
  • Employee discounts
  • Employee referral bonus

Specific plan details and coverage for each benefit noted above will be provided upon offer. #IN-LNJS
If you wish to be considered for a position where there is not an active job posted, please search for our 'General Application' and apply.
Luster is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to criminal history, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
All positions may be subject to a background check and drug test once a conditional offer of employment is made for any convictions directly related to its duties and responsibilities, in accordance with all applicable local, state, and/or federal regulations.
This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.
Luster does not accept unsolicited resumes from any third-party. In the absence of a signed agreement, Luster will not consider or agree to payment of any kind. Any unsolicited resumes presented to Luster personnel, including those submitted to Luster hiring managers, are deemed to be the property of Luster.
Please email hiring@luster.com for accommodations necessary to complete the application process.

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