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Data Science Associate Jobs (NOW HIRING)

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified Information System Security Professional (CISSP ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP) * Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for ...

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified Information System Security Professional (CISSP ...

ORA_HYBRID Description SAIC is looking for a Data Scientist Associate to help the Identity and Data ... A bachelor's degree in computer science, data science, or a comparative quantitative science or ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP) * Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for ...

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 ...

ORA_HYBRID Description SAIC is looking for a Data Scientist Associate to help the Identity and Data ... A bachelor's degree in computer science, data science, or a comparative quantitative science or ...

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

They are seeking an Associate Director of Data Science to lead their Data Science Team, focusing on advanced analytics and proprietary tooling to enhance client engagement and marketing science ...

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Data Science Associate information

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$57.5K

$68K

$129K

How much do data science associate jobs pay per year?

As of Jun 17, 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.

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.
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 June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

$125K - $144K/yr

Full-time

Medical, Life, Retirement

Posted 8 days ago


Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. Objective. Responsive. Trusted.
The AUKUS, Submarines, and Industrial Base Group (ASIG), within the Sea, Land, Air Division, provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to Director Submarine Program directorates and key stakeholders surrounding submarine platform construction. Director Submarine Program unifies submarine platform procurement activities, which includes the Columbia-class SSBN program (a Major Defense Acquisition Program and the Navy's top acquisition priority), the Virginia-class SSN program, the new SSN-X program (developing the next generation attack submarine), and the AUKUS Integration and Acquisition Office, to bring improved capabilities to our undersea forces. Analysts and Engineers supporting Director Submarine Program will continue SPA's decades of support to the SSBN force, as well as supporting oversight of cutting-edge attack submarine construction, assisting in developing the design requirements for the SSN platform of the future, and helping plan and execute new and innovative strategies to strengthen the critical submarine shipbuilding industrial base. These are high-profile, major acquisition and manufacturing programs of significant importance to the future capabilities of the US Navy in an era of renewed strategic competition.
SPA is looking for a Mid-Level Data Scientist with Artificial Intelligence experience in the training and development field to support a contingent role with Naval Information Warfare Systems Command (NAVWAR) Manpower, Personnel & Training in San Diego, CA. #KS M
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Responsibilities
In this role, a Mid-Level Data Scientist will work with NAVWAR's CNO's Integrated Product Team for Data Science to help develop data scientist training for NAVWAR Enterprise products. Work will include creation and modification of initial training plans, usable training packages for systems in production as well as training guides for instructors and maintenance personnel; support installation of new training equipment, including preparation of plans; alterations, conversions, rehabilitations, of facilities required incident to installation (excluding military construction); and field engineer services; support removals and re-installation of an initial equipment installation project, removal of equipment no longer used for training purposes, and re-installations required because of the re-establishment of upgrade of a training program; support initial training for new production equipment furnished until the training agency can acquire the capability; prepare technical or journeyman's manuals with associated instructor guides and trainee measurement aids when required for training of new or upgraded equipment due to a major system modification.
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities.
SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc.
Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Pay Transparency Range: $125K-$144K.
Qualifications
Required Qualifications:
  • Bachelor's Degree in Data Science or equivalent
  • 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus
  • Data management and data visualization experience with Navy or comparable DoW databases
  • Possession of 1 or more relevant industry certifications 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)
  • Proven ability to work independently and within a team environment to achieve client objectives.
  • DoD Top Secret Clearance and the ability to maintain it throughout employment

Desired Qualifications:
  • Ability to collaborate with Navy partners to execute integrated training products
  • Experience in direct support of a Navy or DoW data visualization product developing, preferably within NAVWAR or NETC