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Google Data Science Jobs in Maryland (NOW HIRING)

NLM Data Scientist

Bethesda, MD · On-site

$100K - $115K/yr

... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...

Knowledge of Data Science Concepts Knowledge and/or experience with Machine Learning Algorithms and Analysis. Knowledge and/or experience with Data Visualization and tools (Tableau, Google Data ...

... science. * Fundamental knowledge of cloud platforms like AWS, Google Cloud, or Azure, with an emphasis on their use for scalable data analysis. * Minimum 7 years of experience. Required Skills ...

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $210K/yr

Translate complex data science findings into clear, actionable insights for non-technical ... Cloud platform experience, particularly AWS or Google Cloud Who Will Thrive Here * Intellectually ...

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Showing results 1-20

Google Data Science information

See Maryland salary details

$24.4K

$115.6K

$199.8K

How much do google data science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for google data science in Maryland is $115,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,759.00 and $145,026.00 per year, depending on experience, location, and employer.

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 are the most commonly searched types of Google Data Science jobs in Maryland?

The most popular types of Google Data Science jobs in Maryland are:

What are popular job titles related to Google Data Science jobs in Maryland?

For Google Data Science jobs in Maryland, the most frequently searched job titles are:

What cities in Maryland are hiring for Google Data Science jobs?

Cities in Maryland with the most Google Data Science job openings:

Infographic showing various Google Data Science job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $115,556 per year, or $55.6 per hour.

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 5 days ago


Job description

Data Scientist

Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research.


We are looking for a Data Scientist to work within the National Library of Medicine (NLM). The Data Scientist will have experience in medical informatics, knowledge processing, information systems, image processing, high-performance computing, and information visualization. Specific areas of expertise shall include but not limited to natural language processing, linguistics, consumer health informatics, cross-language translation and retrieval, data mining, human-computer interaction, telemedicine, and evaluation analysis. The Data Scientist shall be able to work well within a team of researchers, developers, and healthcare professionals. The selected applicant will be subject to a pre-employment background and reference check.


Required Qualifications

  • Master's degree in data science, statistics, computer science, or related fields
  • Experience processing, cleaning, and validating data integrity
  • Strong understanding of statistical analysis methods including regression analysis and predictive modeling
  • Proficiency with data visualization tools such as Tableau, Splunk, Google Analytics
  • Experience with programming languages such as Python, R, or SAS
  • Knowledge of machine learning and deep learning algorithms

Preferred Qualifications:

  • Ph.D. in data science, statistics, computer science, biomedical informatics, or related field
  • 5+ years of experience in biomedical informatics, medical data science, or related field
  • Experience with data linkages and conducting longitudinal studies using clinical data
  • Knowledge of NLP techniques to extract information from unstructured text
  • Experience with large language models (LLMs) and AI tools for synthesizing research findings
  • Familiarity with FISMA requirements and secure handling of PHI/PII
  • Experience with cloud computing environments (AWS, Azure, Google Cloud)
  • Background in clinical data analytics and healthcare informatics
  • Experience with data harmonization and data integration across multiple sources
  • Knowledge of database systems including SQL, MongoDB, and ElasticSearch


All candidates will be required to undergo a background check and must be authorized to work in the United States.

Salary and benefits We offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, retirement and HSA accounts, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.


Location: Bethesda, Maryland - Hybrid work environment with some on-site work required at NIH Campus in Building 38A.

Equal Employment Opportunity Policy Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.


Lexical Intelligence, LLC | 2001 Veirs Mill Rd #546 | Rockville, MD 20851