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

... computer science, and applications-specific knowledge. * Ability to use analytic modeling ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Associates degree with 12 years of relevant experience * Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

... Associates degree with 12 years of relevant experience • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

... computer science, and applications-specific knowledge. * Ability to use analytic modeling ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

... computer science, and applications-specific knowledge. * Ability to use analytic modeling ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

... computer science, and applications-specific knowledge. * Ability to use analytic modeling ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

This role involves leveraging your computer science expertise to develop and sustain analytics ... Bachelor's Degree with 10 years of relevant experience, Associates degree with 12 years of ...

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Data Science Associate information

See Baltimore, MD salary details

$57.1K

$67.6K

$128.2K

How much do data science associate jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data science associate in Baltimore, MD is $67,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $59,100.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Baltimore, MD? The most popular types of Data Science jobs in Baltimore, MD are:
What job categories do people searching Data Science Associate jobs in Baltimore, MD look for? The top searched job categories for Data Science Associate jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Science Associate jobs? Cities near Baltimore, MD with the most Data Science Associate job openings:

Data Scientist 3

Gormat

Annapolis Junction, MD

Full-time

Posted 12 days ago


Job description

We are seeking a Data Scientist with a strong background in automation for reporting purposes. You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars is preferred) and design scalable ETL workflows, implementing incremental and batch data ingestion with robust data validation. You will also preprocess, minimize, filter, normalize, aggregate, and reshape datasets for reporting and maintain Python automation packages to be utilized by DOD personnel.

The Level 3 Data Scientist shall possess the following capabilities:

  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.
  • Present complex data findings through various visualizations, graphics, charts, and dashboards. Perform data aggregation, processing, and curation. Identify and assist in the correction of data errors. Requires python, jupyter, experience with customer dataflow and processing. If they have expereince with NLP or AI/LLMs that will be beneficial.

Qualifications:

  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
  • Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
  • Experience designing ETL workflows.
  • Experience with SQL and Python (Pandas, PySpark, or Polars preferred).
  • Experience automating dashboards using PowerBI or Tableau is a plus.

TS/SCI with polygraph is required.