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Data Science Jobs in California, MD (NOW HIRING)

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc) Qualifications

Sabre Systems

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc) Qualifications

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc) Qualifications

Manulife

Data Engineer

California, MD · On-site +1

$137K/yr

Collaborate with data scientists to build pipelines for training and deploying machine learning models; * Work with cross-functional teams to gather requirements and deliver tailored data solutions;

JET Systems

Be Seen First

SOFTWARE ENGINEER - DATA APPLICATIONS

Lexington Park, MD · On-site

$90K - $125K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, Data Science, or a related technical field; candidates completing the final year of an ...

Autodesk

Director, Software Engineering

California, MD · On-site +1

$242K/yr

Partner with Product Management, User Experience, Marketing, Commerce, Data Science, and Engineering leaders to establish strategy, prioritize investments, and deliver measurable business impact

Procore

Principal Product Manager, Data

California, MD · On-site

Lead cross-functional collaboration with Engineering, Data Science, Data Engineering, and Go-to-Market teams through all phases of product development. * Define and track success metrics for data ...

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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.

Data Integration Developer, Journeyman

KAIROS, Inc.

Patuxent River, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

KAIROS, Inc is searching for an energetic, experienced, and highly motivated Data Integration Developer to join our team.
Established in July 2013, KAIROS, Inc. is a growing Woman Owned Small Business (WOSB) specializing in Life Cycle Program Management, Engineering, Cybersecurity, Logistics and Sustainment, Enterprise Platforms and AI, and Additive Manufacturing services focused on optimizing customers' program performance and mission through proven methodologies and ethical practices. Our headquarters is in California, MD near Naval Air Station Patuxent River. We offer competitive salaries and benefits with outstanding growth potential.
This position supports the development, implementation, and maintenance of data ingestion and integration pipelines that onboard data from authoritative and mission-related sources into enterprise data environments. Working collaboratively with data stewards, source system owners, engineers, architects, and governance teams, the individual assists with data assessments, data mapping, transformation activities, data quality validation, and compliance with established security and governance requirements. The position also supports pipeline monitoring and troubleshooting activities, helps resolve technical issues, and contributes to the development of reusable integration solutions that improve the efficiency, reliability, and scalability of data onboarding efforts.
Primary Duties:
  • Data Pipeline Development: Collaborate with Jupiter's data connections team to design, develop, and implement scalable data ingestion and integration solutions to acquire, transform, validate, and operationalize data from multiple authoritative and mission data sources.
  • Technical Collaboration: Collaborate directly with data stewards, source system owners, data engineers, architects, and governance teams to understand source structures, data quality considerations, access constraints, and technical requirements for successful onboarding.
  • Data Assessment: Perform technical assessments of new data sources, including schema analysis, data profiling, mapping, transformation requirements, lineage, and data quality validation, to support reliable integration into the enterprise data environment.
  • Technical Compliance: Support completion and technical validation of data governance artifacts and onboarding documentation, ensuring appropriate metadata, lineage, access controls, security requirements, and data handling rules are incorporated into implemented solutions.
  • Pipeline Operations & Scalability: Monitor and troubleshoot data pipelines and onboarding activities, identify technical blockers and dependencies, communicate status to program leadership, and implement reusable patterns and automation to improve the speed, reliability, and scalability of future data acquisitions.
Skills and Qualifications:
  • Hands-on development experience within the data integration environment with knowledge of architecture, data integration, governance model, and development workflows
  • Experience supporting the design and development of scalable ingestion, transformation, integration, and validation pipelines for large complex data sources.
  • Experience with schema mapping, metadata, lineage data quality, authoritative source integration, access controls, and implementation of governance requirements within technical solutions.
  • Ability to work directly with data stewards, source system owners, architects, and platform teams to analyze source data, resolve ingestion and access issues, troubleshoot pipelines, and move data from initial acquisition through production.
  • Strong customer relations, analytics, and documentation skills
  • Self-starter, highly motivated, strong work ethic with a commitment to quality
  • Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
  • Ability to work within a challenging, fast-paced, team-oriented environment
  • Ability to work independently
  • Ability to multi-task and meet competing, deliverable deadlines
  • Detail oriented
  • Excellent interpersonal and customer service skills
  • Excellent verbal and written communication skills to provide clear status and/or communicate issues
  • Ability to adapt to evolving technology
Education and Experience:
  • Bachelor's degree in mathematics, data engineering, data analytics, data science, artificial intelligence, operations research, software engineering, and/or other technical/engineering/mathematical degree fields
  • Experienced platform engineer
  • Knowledge of cybersecurity and data management
  • 3-5 years experience supporting data engineering, data automation, and application development efforts
  • Experience in developing scalable, secure, and reliable data and application products

Clearance:
This position is subject to a government security investigation and must meet eligibility requirements for access to classified information. In order to complete the requirements for government security clearance investigation you must be a U.S. Citizen and be able to complete the full background investigation. This position requires an Active Secret Security Clearance.
Compensation:
While skills, education, and experience are key factors, they are not the sole determinants of salary. Other determining factors include but are not limited to location, contract budgets and requirements, and government labor category guidelines. The estimated salary range for this position is $135,000 to $155,000. KAIROS also provides a comprehensive benefits package as additional employee compensation.
KAIROS, Inc. 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, national origin, or any other characteristic protected by federal, state, or local laws.
KAIROS offers our employees a comprehensive benefits package consisting of:
  • Medical Coverage
  • Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance
  • Health Savings Account with Contribution by Employer
  • 401K Plan with Employer Matching
  • Annual Discretionary Bonuses
  • Paid Time Off
  • Eleven (11) Paid Holidays
  • Certification reimbursement program
  • Tuition Reimbursement Program
  • Paid Parental Leave
  • Employee Assistance Program (EAP)
  • Rewards and recognition programs
  • Community outreach events through our KAIROS Kares group

To learn more about our organization be sure to check out our website, https://www.kairosinc.net/

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