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Data Jobs in Baltimore, MD (NOW HIRING)

Data Scientist

Columbia, MD ยท On-site

$225 - $255/hr

Bytoa is seeking a Data Scientist specializing inin graph analysis and algorithms. You will join a collaborative team building an entirely new graph analysis platform that, for the first time, will ...

Posted today

Data Scientist

Edgewood, MD ยท On-site

$77K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l ...

Data Scientist

Fort George G Meade, MD ยท On-site

$100 - $130/hr

Requisition Requisition #: 1424 Title Data Scientist / Engineer Clearance Top Secret clearance Location Alexandria, VA | Arlington, VA Role Summary Agile Defense is seeking a Data Scientist ...

Data Scientist

Belcamp, MD ยท On-site

$77.60 - $176/hr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

We are hiring a Data Scientist to work in the Fort Meade, MD vicinity . Position location is subject to change based on central MD client's needs. Required: TS/SCI with a Polygraph Employ some ...

Data Scientist

Belcamp, MD ยท On-site

$77K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Data Scientist Location: Baltimore, MD (Onsite) Hiring Type: Contract Job Summary: We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal ...

We are looking for a results-driven Data Analyst to join the Nuclear Command, Control, and Communications (NC3) Enterprise Center (NEC) team at Fort Meade, MD. This role is more than just a job-it ...

Data Scientist

Fort George G Meade, MD ยท On-site

$99K - $225K/yr

Data Scientist The Opportunity: Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating more structured and unstructured data than ever before. As a data ...

Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists ...

We are hiring a Data Scientist to work in the Fort Meade, MD vicinity . Position location is subject to change based on central MD client's needs. Required: TS/SCI with a Polygraph Employ some ...

Data Architect

Columbia, MD ยท On-site

$86K - $198K/yr

Data Architect The Opportunity: For an organization to transform in today's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more ...

Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists ...

Data Scientist Location: Linthicum Heights, MD Work Schedule: Full-Time Clearance Required: Active TS/SCI with Polygraph Note: Position location is subject to change based on central Maryland client ...

Showing results 41-60

Data information

See Baltimore, MD salary details

$45.7K

$164K

$241.9K

How much do data jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data in Baltimore, MD is $163,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most commonly searched types of Data jobs in Baltimore, MD? The most popular types of Data jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data jobs? Cities near Baltimore, MD with the most Data job openings:
Infographic showing various Data job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $163,968 per year, or $78.8 per hour.

Data Scientist

Bytoa

Columbia, MD โ€ข On-site

$225 - $255/hr

Other

Posted 12 hours ago

Posted today


Job description

Bytoa is seeking a Data Scientist specializing inin graph analysis and algorithms. You will join a collaborative team building an entirely new graph analysis platform that, for the first time, will allow our mission customers to visualize, analyze, and traverse their expansive and complex mission data in graph format and in near-real-time. Your responsibilities will center around enhancing our graph data capabilitiesโ€”designing, modeling, and optimizing complex graph structures and crafting performant database queries. While familiarity with Neo4j and its query language, Cypher, is beneficial, we welcome candidates with broader graph analysis experience who are eager to deepen their expertise. You may also develop and maintain data parsers using Python to support our ingestion pipelines and maintain comprehensive documentation of data models. Finally, you will work directly with mission analysts and operators to listen to their needs and address them through novel data models and graphing solutions.

Salary range:$225,000 - $255,000
Disclaimer:
Salary for this position, along with additional compensation options, will be determined on an individual basis following the interview process, considering various factors such as years of experience, skills, education/certifications, contract specifications, market conditions, etc.

Responsibilities:
  • Develop and refine graph data models to accommodate new data sources and fulfill customer-driven feature requests.
  • Design and optimize graph queries, with an expectation to learn and utilize Cypher for Neo4j.
  • Build and maintain data parsers in Python, ensuring reliable data ingestion.
  • Validate and analyze mission data to confirm accuracy, integrity, and optimal performance.
  • Collaborate closely with analysts to understand and translate analytical requirements into practical graph-based solutions.
  • Work alongside software developers to integrate efficient queries and data parsers into robust software components.
  • Maintain clear, comprehensive documentation of graph schemas, data models, and related processes using tools such as Confluence.
  • Engage directly with customers to understand operational challenges and propose effective technical solutions.
Skills Requirements:
  • Experience or interest in graph databases, such as Neo4j, with a willingness to learn specific tools like Cypher.
  • Strong Python programming skills, specifically for writing and maintaining data parsing scripts.
  • Proven ability to translate customer requirements into implementable data-driven solutions.
  • Excellent communication and interpersonal skills for effective collaboration with diverse stakeholders.
  • Strong analytical thinking and problem-solving abilities.
Nice to Haves:
  • Previous experience with Neo4j or other graph databases.
  • Knowledge of TCP/IP networking concepts.
  • Understanding of graph theory and algorithms.
  • Familiarity with real-time data processing or streaming analytics.
  • Experience with containerization technologies (Docker, Kubernetes).
  • Understanding of ETL processes for large, complex datasets.
  • Familiarity with SIGINT collection and analysis systems or similar mission environments.
Experience Requirement:

8 yrs. with a B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Clearance Requirement:

Active TS/SCI with a polygraph

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