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Data Analyst Data Science Jobs in Baltimore, MD (NOW HIRING)

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

At least a Bachelor's Degree in Math, Probability & Statistics, or related data science field ... analysis tools * Only open to candidates US Citizens and Permanent Residents currently authorized ...

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

Bachelor's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field. * Three (3) years of experience in data analytics

Ideal candidates will be graduates with a degree in engineering, data science, or a technical field. Responsibilities include, but are not limited to: * Analyzing electric vehicle operational and ...

Bachelor's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field. * Three (3) years of experience in data analytics

BA or BS in Engineering, Computer Science, or educational equivalent. * Experience: 3+ years in the ... Knowledge of data analysis, visualization, and natural language processing tools and procedures ...

BA or BS in Engineering, Computer Science, or educational equivalent. * Experience: 3+ years in the ... Knowledge of data analysis, visualization, and natural language processing tools and procedures ...

Showing results 21-40

Data Analyst Data Science information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do data analyst data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst data science in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Baltimore, MD? For Data Analyst Data Science jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Baltimore, MD look for? The top searched job categories for Data Analyst Data Science jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Analyst Data Science jobs? Cities near Baltimore, MD with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Data Scientist with Security Clearance

The Swift Group

Laurel, MD • On-site

Other

Re-posted 19 days ago


Job description

Swift is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a Data Scientist to join a robust team in Annapolis Junction and/or Laurel, MD. This role focuses on extracting insights and value from large, complex datasets to support mission needs. The ideal candidate applies a blend of mathematical, statistical, computational, and domain-specific expertise to analyze data, develop models, and communicate clear, actionable findings to both technical and non-technical stakeholders. Responsibilities: * Apply two or more core data science skill areas, including:
* Mathematical, computational, and statistical foundations
* Data processing, management, curation, visualization, and reproducible analytic workflows
* Data modeling, inference, prediction, and domain-specific analysis
* Compile, integrate, and manage data from multiple sources using computer scripting, APIs, and analytic tools.
* Develop and apply statistical analyses, data models, and quantitative methods to explore, assess, and characterize large and complex datasets.
* Design and build rapid analytic prototypes to generate metrics and insights, including performance metrics for sensor or system data.
* Develop reproducible data analysis workflows using Python and common data science tools (e.g., Jupyter notebooks, Pandas).
* Interact with APIs and existing tools to retrieve, process, and analyze data; develop or extend tools as needed to support analytics.
* Translate mission or operational questions into technical and analytic requirements and corresponding analytic approaches.
* Evaluate data quality, structure, and limitations, and account for these factors in analytical methods and conclusions.
* Communicate complex analytical methods, results, and recommendations clearly to both technical and non-technical stakeholders.
* Assess and recommend analytic techniques, tools, and technical solutions based on evolving data collection, processing, storage, and analytics capabilities and constraints.
* Collaborate with multidisciplinary teams to support data-driven decision-making in mission environments. Requirements: * Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline (or equivalent experience)
* Minimum of three (3) years of relevant data analysis or data science experience
* Experience with data compilation and integration from multiple sources using scripting and APIs
* Experience applying statistical analysis and data modeling techniques
* Proficiency in Python for data analysis, including use of Jupyter notebooks and Pandas
* Experience developing rapid analytic prototypes and performance metrics Security Clearance: A current government clearance, background investigation, and polygraph are required. #OpsConsulting #LI-JP1