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Data Science Jobs in California, MD (NOW HIRING)

Bowhead

Senior Data Scientist

Saint Inigoes, MD

$90K - $150K/yr

Overview Senior Data Scientist (IDS TPSS): Bowhead is seeking a Senior Data Scientist for the upcoming Identification Systems (IDS) Technical Project Support Services (TPSS) contract at Webster Field ...

Bowhead

Senior Data Scientist

Saint Inigoes, MD · On-site

$90K - $150K/yr

Overview Senior Data Scientist (IDS TPSS): Bowhead is seeking a Senior Data Scientist for the upcoming Identification Systems (IDS) Technical Project Support Services (TPSS) contract at Webster Field ...

Sabre Systems LLC

Data Analyst

Patuxent River, MD · On-site

Partner with data analysts and data scientists to prepare diverse data sources for advanced analytics work * Liaise with business and operational stakeholders to understand business needs, metrics ...

Sabre Systems LLC

Data Analyst

Patuxent River, MD · On-site

Partner with data analysts and data scientists to prepare diverse data sources for advanced analytics work * Liaise with business and operational stakeholders to understand business needs, metrics ...

Munich Re

Data and AI Enterprise Architect

Lusby, MD · On-site

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Autodesk

Senior Principal AI/ML Developer

California, MD · On-site +1

$120K - $165K/yr

Data Scientists/MLE are both data/research scientists and software developers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our ...

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All JobsData Science JobsData Science Jobs in California, MD

Data Science information

See California, MD salary details

$35.9K

$117.6K

$188.3K

How much do data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science in California, MD is $117,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $130,300.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in California, MD?

The most popular types of Data Science jobs in California, MD are:

What are popular job titles related to Data Science jobs in California, MD?

For Data Science jobs in California, MD, the most frequently searched job titles are:

What cities near California, MD are hiring for Data Science jobs?

Cities near California, MD with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in California, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,619 per year, or $56.5 per hour.

Senior Data Scientist

Bowhead

Saint Inigoes, MD

$90K - $150K/yr

Full-time

Re-posted 23 days ago

Job description

Overview

Senior Data Scientist (IDS TPSS):

Bowhead is seeking a Senior Data Scientist for the upcoming Identification Systems (IDS) Technical Project Support Services (TPSS) contract at Webster Field in St Inigoes, MD. IDS TPSS supports the Naval Air Warfare Center Aircraft Division Webster Outlying Field (WOLF) in delivering mission-critical systems and services. The effort provides a wide range of technical, project management, engineering, logistics, training, and administrative support for air, ship, shore, expeditionary, and surveillance systems that directly support warfighter operations.

The Senior Data Scientist leads the development and implementation of advanced techniques and analytics applications to transform raw data into actionable insights using data-oriented programming languages and visualization software.

Responsibilities
  • Oversees the application of data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
  • Guides the visualization, interpretation, and reporting of data findings, ensuring clear communication of insights.
  • May also oversee the creation of dynamic data reports to support strategic decision-making.
  • Supports and guides junior staff and collaborates with senior team members in applying analytical techniques and methodologies to enhance project outcomes.

Bowhead is seeking to connect with qualified individuals regarding a potential opportunity, contingent upon contract award and not currently funded. Interested candidates are encouraged to apply. Incumbent employees are strongly encouraged to respond. Please note that unsolicited inquiries and third-party applications will not be accepted.

Qualifications
  • At least ten (10) years of experience and a master's degree or bachelor's degree plus four (4) additional years of experience may be substituted for a Master's.
  • Intermediate to advanced level skills in Microsoft Office software suite - Word, Excel, Outlook, PowerPoint
  • Ability to communicate effectively with all levels of employees and outside contacts
  • Strong interpersonal skills and good judgment with the ability to work alone or as part of a team

Physical Demands:

  • Must be able to lift up to 15 to 25 pounds
  • Must be able to stand and walk for prolonged amounts of time
  • Must be able to twist, bend and squat periodically

SECURITY CLEARANCE REQUIRED: Must be able to maintain a clearance at the Secret level. US Citizenship is a requirement for a Secret clearance at this location.

Salary range is $90,000- $150,000 commensurate with experience.

Please note that the salary information is a general guideline only. Bowhead considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

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Employment Type: FULL_TIME

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