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Data Science Associate Jobs (NOW HIRING)

Relevant industry certifications desired such as CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science ...

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

Tombras, a 600+ person, full-service, national advertising agency with a digital mindset, is seeking an Associate Director, Data Science. You'll be joining one of the top independent agencies in ...

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed drug development. We are seeking an experienced Data Science leader to advance data-driven drug ...

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical ...

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Senior Associate, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical ...

New

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical ...

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Showing results 21-40

Data Science Associate information

See salary details

$57.5K

$68K

$129K

How much do data science associate jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science associate in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 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.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

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?

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.

More about Data Science Associate jobs
What cities are hiring for Data Science Associate jobs? Cities with the most Data Science Associate job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Data Science Associate jobs? States with the most job openings for Data Science Associate jobs include:
Infographic showing various Data Science Associate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

Data Analyst (5615)

Ocean Bay LLC

Indian Head, MD • On-site

Full-time

Re-posted just now


Job description

Ghostrock Systems Development LLC, a subsidiary of Three Saints Bay, LLC and a Federal Government Contractor industry leader is searching for a Data Analyst to join our Team in Indian Head, MD.
Position Responsibilities:
  • Analyze, integrate, and test software/data systems; script using Python/R; support analytics objectives with data science techniques.
  • Apply statistical and operations research methods and tools; employ spreadsheets and visualization tools.

Position Requirements:
  • Mid: 7 years (BA/BS desired; AA/AS plus 4 years may substitute).
  • Senior: 10 years (Master's desired; BA/BS plus 5 years may substitute).
  • Relevant industry certifications desired such as CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science Associate (EMCDSA)/Cloudera Certified Data Scientist (CCDH)/Certified Apache Hadoop Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft Certified Professional Developer (MCPD)/Microsoft Certified Solution Developer (MCSD)/Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified Administrator for Apache Hadoop (CCAH) (Cloudera).
  • Minimum Security Clearance: SECRET (Senior: Top Secret required).

Position located in Indian Head, MD.
Apply online at: https://phg.tbe.taleo.net/phg01/ats/careers/v2/viewRequisition?org=GATEWAYVENT&cws=38&rid=5615
VEVRAA Federal Contractor
Three Saints Bay, LLC and its subsidiaries offer a team-oriented working environment and the opportunity to work with exceptional, dedicated industry professionals. We offer our employees a comprehensive benefits package and the opportunity to take part in exciting projects with government and commercial clients, both domestic and international.
We are an Equal Opportunity Employer. We invite resumes from all interested parties without regard to race, color, sex, sexual preference, religion, creed, national origin, age, genetic information, marital or veteran status, disability, or any other category protected by federal, state, or local law.