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Data Scientist Google Jobs (NOW HIRING)

SteerBridge

Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

The Data Scientist must be prepared to dive deep into disparate data from multiple sources in ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Data Scientist Location: Merrifield, VA(Hybrid) Duration: 12 Months Contract Responsibilities ... Google Cloud * Understanding of data models, large datasets, business/technical requirements, BI ...

hireVouch

Data Scientist

As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with ... Google, Azure, etc.) Resourceful self-starter and team player with strong leadership skills ...

Select Minds LLC

Data Scientist

Dallas, TX

$65 - $75/hr

Data Scientist Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview Must ... Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.

Hirevouch

Data Scientist

As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with ... cloud provider (Google, Azure, etc.) • Resourceful self-starter and team player with strong ...

Bridge Core (BCore)

Data Scientist

Mclean, VA

Overview Data Scientist McLean, VA TS/SCI with Poly At Bcore, our strength comes from how we ... Solid understanding of cloud platforms (AWS, Azure, or Google Cloud) and their data services.

Bridge Core (BCore)

Data Scientist

Mclean, VA

Data Scientist McLean, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact ... Solid understanding of cloud platforms (AWS, Azure, or Google Cloud) and their data services.

Judge Group, Inc.

Data Scientist

San Antonio, TX · On-site

$130K - $150K/yr

Data Scientist Location: San Antonio, TX Full-Time About the Role We are seeking an experienced ... Familiarity with cloud analytics platforms (AWS, Azure, or Google Cloud Platform) Preferred ...

Factspan Inc

Data Scientist + MLE

Atlanta, GA · On-site

Google Cloud Platform, Python and DS concepts * Experience on Product combinability modelling (desirable but not required) 2.Job Title: Data Scientist Location: Atlanta, GA Type: Fulltime Years of ...

Technogen, Inc.

Data Scientist

Camden, NJ · On-site

Data Scientist Location: Camden, NJ - Hybrid (3 days/week onsite) only locals Duration: Long-Term ... Google Cloud ML Engineer, AWS ML Specialist)

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google ... Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing ...

Ford Motor Company

Data Scientist

Dearborn, MI

We are seeking an experienced data scientist with a strong focus on building and maintaining ... Google Vertex AI * Experience with Context Engineering and utilizing the Model Context Protocol ...

Adswerve, Inc

Data Scientist 1

$95K - $115K/yr

We're an award-winning data, media and tech consultancy and a leading Google and Adobe partner that ... Data Scientist 1 Compensation: $95,000 - $115,000 Location: Arizona, Colorado, Connecticut, Florida ...

bet365

Senior Data Scientist

Denver, CO

$135K - $150K/yr

The data science team is at the forefront of driving business decisions, we are now scaling our ... Extensive hands-on experience with Google Cloud Platform (GCP), including building and automating ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal ... Google Cloud). * Problem-Solving: Ability to design and implement innovative solutions to complex ...

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All JobsData Scientist Google Jobs

Data Scientist Google information

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$37.5K

$122.7K

$196.5K

How much do data scientist google jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data scientist google in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How do I get into Google data scientist?

To become a data scientist at Google, candidates typically need a strong background in computer science, statistics, or related fields, along with experience in machine learning, data analysis, and programming languages like Python or R. A relevant advanced degree such as a master's or PhD is often preferred, and familiarity with tools like TensorFlow and big data platforms can be advantageous. Strong problem-solving skills, a portfolio of projects, and experience with large-scale data are also important for the application process.

How do Data Scientists at Google typically collaborate with cross-functional teams to deliver impactful projects?

At Google, Data Scientists frequently work alongside engineers, product managers, UX researchers, and business analysts to translate complex data insights into actionable product improvements. Collaboration often involves regular meetings to align on project goals, brainstorming sessions to identify potential data-driven solutions, and iterative feedback cycles to refine models or analyses. Open communication and a collaborative mindset are key, as Data Scientists are expected to clearly articulate findings to both technical and non-technical stakeholders, ensuring their work drives meaningful business outcomes.

Is it difficult to get hired at Google?

Getting hired as a Data Scientist at Google is competitive due to high standards for technical skills, including proficiency in programming, data analysis, and machine learning. Candidates typically need strong educational backgrounds, relevant experience, and a solid portfolio or projects to succeed in the interview process.

Can I get a job in Google as a data scientist?

Data Scientist roles at Google require strong skills in statistics, machine learning, and programming languages like Python or R. Candidates typically need a relevant degree, such as a master's or Ph.D., and experience with data analysis tools and large datasets. The hiring process includes technical interviews and assessments of problem-solving abilities.

Is 30 too late for data science?

Data scientists can successfully enter the field at age 30 or older, as skills in programming, statistics, and machine learning are more important than age. Many professionals transition into data science from different backgrounds, and continuous learning through online courses and certifications can facilitate this career change.

What are the key skills and qualifications needed to thrive as a Data Scientist at Google, and why are they important?

To thrive as a Data Scientist at Google, you need strong expertise in statistics, machine learning, data analysis, and a relevant degree such as computer science or mathematics. Familiarity with programming languages like Python or R, experience with big data tools (e.g., TensorFlow, SQL, Hadoop), and possibly certifications in data science platforms are typically required. Excellent problem-solving, communication, and collaboration skills help you translate data insights into impactful business solutions. These skills ensure you can extract meaningful insights from complex data and drive innovation in a fast-paced, data-driven environment.

What does a Data Scientist at Google do?

A Data Scientist at Google is responsible for analyzing large and complex data sets to help inform business decisions, develop new products, and improve user experiences. They use statistical analysis, machine learning, and data visualization techniques to uncover insights from data. Data Scientists at Google often collaborate with engineers, product managers, and other stakeholders to solve challenging problems and drive innovation across various products and services.

What is the difference between Data Scientist Google vs Data Analyst Google?

AspectData Scientist GoogleData Analyst Google
Required CredentialsBachelor's/Master's in CS, Statistics, or related; often a PhD for advanced rolesBachelor's in related fields; certifications like Google Data Analytics are common
Work EnvironmentDeveloping models, advanced analytics, machine learning projectsData cleaning, reporting, visualization, basic analysis
Employer & Industry UsageTech giants, startups, industries leveraging AI and MLBusiness intelligence, marketing, finance across various sectors

Data Scientist Google focuses on building predictive models and advanced analytics, requiring higher technical skills and often advanced degrees. Data Analyst Google handles data interpretation, reporting, and visualization, with a focus on business insights. Both roles are essential but differ in complexity and scope.

More about Data Scientist Google jobs
What cities are hiring for Data Scientist Google jobs? Cities with the most Data Scientist Google job openings:
What states have the most Data Scientist Google jobs? States with the most job openings for Data Scientist Google jobs include:
What job categories do people searching Data Scientist Google jobs look for? The top searched job categories for Data Scientist Google jobs are:
Data Scientist Google jobs near you
Infographic showing various Data Scientist Google job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

SteerBridge

Vienna, VA • On-site

$137K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

SteerBridge Strategies is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success.
At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.
SteerBridge is looking for a Data Scientist to evaluate multi-dimensional USMC C130 global supply
chain and operational data to construct and maintain predictive models. Candidates must be
familiar with multiple types of data models including, but not limited to, generalized linear
and multilinear regression, logistic and multinomial regression, and time series analysis.
Candidates must have hand-on experience with supervised (classification, regression)
and unsupervised learning (clustering, dimension reduction).
The Data Scientist must be prepared to dive deep into disparate data from multiple sources in
multiple formats in order to integrate and evaluate to determine the most appropriate modeling
approach. The Data Scientist will be responsible for leading end-to-end analytical models and
data science framing activities, including but not limited to working with partners to identify fields,
data provenance and integration, data quality assessments, and documentation of data
processes and models.
The Data Scientist must be able to review and understand large sets of data while being able to
highlight relevant trends and patterns. The ideal candidate is a quick learner, curious, innovative,
results-oriented and has strong interpersonal skills.
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays

Qualifications
  • Must be a U.S. Citizen.
  • MSc or PhD degree in applied mathematics, statistics, or relevant work experience.
  • An active security clearance or the ability to obtain one is required.
  • Collaborate with various stakeholders to understand requirements and translate those requirements into data science solutions.
  • Provide guidance on best practices and industry standards across data science and analytics, data visualization, and share expertise to improve technical capabilities of the team.
  • Design, develop, and integrate templates, data, and models for repeatability.
  • Develop and implement data quality assurance and management protocols.
  • Create, maintain, and organize technical documentation for all data collection, cleaning, and analyses.
  • RAG, Embedding, Vector DB, hugging face transformer, BERT, BART, LLMs

Required and Preferred Skillsets
  • Must be familiar with multiple types of data models including, but not limited to, generalized linear and multilinear regression, logistic and multinomial regression, and time series analysis.
  • Must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction).
  • 3+ years of experience evaluating relationships in data using statistical modeling and leveraging analytics tools.
  • 3+ years of experience in advanced Classification and Regression modeling.
  • 3+ years of professional proficiency using R, or Python for data wrangling and model building.
  • Experience in SQL or Spark SQL, and basic database design.
  • Cloud project work using Google, AWS and/or Azure.
  • Demonstrated high proficiency in statistical analysis and data visualization.
  • Demonstrated high proficiency in data wrangling and documentation.
  • Solid technical skills across a wide variety of tools and data platforms.
  • Able to successfully prioritize and manage multiple project tasks simultaneously and complete them in a timely manner with a high degree of accuracy.
  • Strong record of applied data analysis.
  • Excellent writing and presentation skills with a successful track record of communicating complex concepts to diverse audiences.

Preferred:
  • (Highly preferred) AWS or Google Cloud Professional or Specialty Certification or ability to obtain certification.
  • Top Secret security clearance.
  • Experience with supply chain management data systems and technology is desirable (e.g., ERP, Transportation Management and Warehouse Management systems).
  • Experience supporting DoD and/or VA missions.
  • Proficiency in integrating and interfacing with software development processes.
  • Consulting experience.

$137,000 - $155,000 a year
A salary commensurate with background and experience will be offered.
SteerBridge Strategies is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.
If you would like information about how your application is processed, please contact us.

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