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Data Science Associate Jobs (NOW HIRING)

Associate Director, Data Science

Knoxville, TN ยท On-site

$56K - $56K/yr

Tombras, a 450+ 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, Commercial Data Science

Deerfield, IL ยท On-site

$60K - $60K/yr

Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director of Data Science within the Customer Data & Analytics team ...

Senior Data Scientist

Purchase, NY ยท On-site

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

Skills, Knowledge and Expertise * Bachelor's degree in computer science or related field ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

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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.
Associate Director, Data Science

Associate Director, Data Science

Tombras

Knoxville, TN โ€ข On-site

$56K - $56K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Tombras, a 450+ 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 North America. Connecting Data & Creativity for Business Resultsยฎ is working for our clients and creating a flywheel affect fueling both client and agency growth. You'll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.
Why Join Tombras Analytics?
Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.
This role is foundational to leading our Data Science Team, which partners with our Analytics, Media, and Data-Ops Teams to realize the vision of offering best in class marketing science for our clients. You'll lead the strategy and development of proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.
The Associate Director, Data Science will report directly to the Director, Data Science and should have prior experience in media analytics, especially digital media. The ideal candidate will have 2+ years of experience in media, marketing or a related field and possess 5+ years of experience in Analytics and Data Science roles.
Where you'll be working: Knoxville. Relocation assistance may be provided.
What you'll be doing:
  • Leading the strategy behind and client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results.
  • Developing the framework and approach for marketing science and develop bespoke offerings.
  • Employing best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices.
  • Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models.
  • Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation.

What you bring:
  • An M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research
  • (Optional) Experience in marketing science or advertising analytics
  • Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models
  • Strong competency with python, R, SQL, and other commonly used statistical tools
  • Client services mindset
  • Ability to influence clients and partner agencies to act on insights
  • Ability to distill complicated information into succinct graphical presentations for senior stakeholders.

Why you'll want to work at Tombras:
  • Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.
  • Dog-friendly offices
  • Flexible PTO
  • Generous parental leave for primary and non-primary caregivers
  • Medical (PPO or High Deductible option) for employee + dependents
  • 401(k) Participation
  • Employer-paid Dental & Vision
  • A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.

Want more reasons to work at Tombras? Check out the latest Tombras News and Our Values.
Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.
Tombras is an E-Verify employer and participates in the E-Verify program.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.
Remote employees must be based in the United States.