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Google Data Science Jobs in Silver Spring, MD (NOW HIRING)

As a thought leader, you will drive innovation, shape data science strategy, and influence the ... Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g ...

... Google Cloud environment. In support of the Data Literacy Program, the Senior Data Scientist will ... Evangelize within company the capabilities and opportunities that data science and advanced ...

Document data science methodologies, model assumptions, validation results, and performance metrics ... Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification.

Document data science methodologies, model assumptions, validation results, and performance metrics ... Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification.

Proficiency in data science tools and technologies such as Python, SQL/PostgreSQL, Spark, and Git (NiFi is a plus) * Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP ...

AI & ML Engineer

Mclean, VA · On-site

$128K - $292K/yr

Master's degree in Data Science, Computer Science, or ML Engineering * AWS, Google, Data Analytics, Machine Learning Engineer, or Solutions Architect Certifications * ML Engineering, Cloud ...

AI & ML Engineer

Mclean, VA · On-site

$200 - $250/hr

Master's degree in Data Science, Computer Science, or ML Engineering * AWS, Google, Data Analytics, Machine Learning Engineer, or Solutions Architect Certifications * ML Engineering, Cloud ...

Master's degree in Data Science, Computer Science, or ML Engineering * AWS, Google, Data Analytics, Machine Learning Engineer, or Solutions ArchitectCertifications * ML Engineering, Cloud ...

Document data science methodologies, model assumptions, validation results, and performance metrics ... Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification.

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Google) * Experience performing analytics and data transformation using Python and R * Ability to ...

Showing results 41-60

Google Data Science information

What is a Google data science?

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.

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.

What job categories do people searching Google Data Science jobs in Silver Spring, MD look for?

The top searched job categories for Google Data Science jobs in Silver Spring, MD are:

Infographic showing various Google Data Science job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist Thought Leader

Gaithersburg, MD • On-site

Leidos
IT Services • 10K+ employees

$154K - $278K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services


Job description

Description

Job Description:

Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers’ mission to defend against evolving threats around the world. Our team’s focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets.

We are seeking a Data Scientist Thought Leader for the Maru program. In this strategic, high-visibility role, you will be at the forefront of developing cutting-edge, next generation data science, AI, and geospatial analytics solutions to solve some of the nation’s most complex intelligence problems.  As a thought leader, you will drive innovation, shape data science strategy, and influence the future of geospatial intelligence (GEOINT).

In this role, you will work closely with customer leaders, mission stakeholders, and advanced technical teams to define the path forward for data science applications in the intelligence community.  Your expertise will guide the development of mission-critical capabilities that shape the intelligence landscape, with a focus on AI/ML, deep learning, and advanced geospatial analytics. This position requires a visionary leader who is not only technically skilled but also a strategic influencer and innovator within the field of data science.

Please note Gaithersburg, MD is the primary work location for the program.

Clearance Level Required:

Active Top Secret/SCI with the ability to successfully pass a Polygraph examination.

Primary Responsibilities:

  • Lead the strategic direction for the development and deployment of innovative data science and AI solutions with the customer mission space, and advocate for advanced techniques in machine learning, computer vision, and deep learning.
  • Champion the application of emerging technologies, such as AI, reinforcement learning, computer vision, and geospatial AI, to drive mission success. Develop and refine state-of-the-art models to solve highly complex geospatial intelligence problems.
  • Stay ahead of industry trends, emerging tools, and new methods in data science, AI, and geospatial intelligence. Publish research, deliver keynote presentations, and contribute to academic and industry forums to establish Leidos and the customer as leaders in the field.
  • Serve as a senior advisor to customer leadership, collaborating with senior analysts, engineers, and subject matter experts to ensure the alignment of technical capabilities with mission requirements. Translate high-level mission needs into actionable data science strategies.
  • Lead and mentor cross-functional teams, helping develop the next generation of data scientist with the organization. Provide thought leadership and guidance to junior and mid-level scientists to foster innovation and professional growth.
  • Oversee the design and development of complex AI/ML models and algorithms, particularly for geospatial data, including satellite imagery, remote sensing data, and spatial data analysis.
  • Drive the transformation of the customer’s geospatial intelligence workflows by recommending cutting-edge solutions and technologies. Ensure that analytical products provide actionable intelligence for decision-makers at the highest levels of government.
  • Represent Leidos and the customer at key industry conferences, briefings, and working groups. Evangelize the potential of data science and AI to transform intelligence operations and national security.

Basic Qualifications:

  • US citizenship is required per contract.
  • Master’s degree in Data Science, Artificial Intelligence, Geospatial Science or related field and 15-20 years of prior relevant experience or Doctorate with 13-16 years of prior relevant experience.
  • 12+ years of experience in data science, AI, and GEOINT.
  • Extensive experience in leading high-profile data science and AI projects, particularly within the Intelligence Community (IC).
  • Proven expertise in machine learning, deep learning, geospatial analytics, and AI/ML model development.
  • Demonstrated experience in leading innovation in both technical and strategic capacities.
  • Mastery of Python, R, and data science libraries (e.g., TensorFlow, PyTorch, Keras).
  • Expertise in geospatial analytics tools (e.g., GeoPandas, GDAL, ArcGIS), and familiarity with geospatial data formats (e.g., GeoTIFF, Shapefiles).
  • Experience in deploying machine learning models at scale and integrating them into operational systems.
  • Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop).
  • Expertise in applying computer vision and image analysis techniques to satellite imagery and geospatial datasets.
  • Proven ability to shape strategy and influence senior decision-makers within the IC.
  • Excellent interpersonal, communication, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Strong track record of thought leadership, including publications, speaking engagements, and contributions to the broader data science and geospatial intelligence community.

Preferred Qualifications:

  • Advanced certifications in AL/ML, or data science.
  • Experience working directly with our customer or other members of the IC.
  • Advanced knowledge of satellite-based geospatial data, remote sensing, and data analysis.
  • Experience with automated model deployment, CI/CD pipelines, and model monitoring.
  • Published papers in peer-reviewed journals, contributions to industry conferences, or active involvement in open-source projects.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:September 3, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $154,050.00 - $278,475.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.


What Leidos employees say

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Benefits

Hours and flexibility

Workplace

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Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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