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Data Science Associate Jobs in Atlanta, GA (NOW HIRING)

Stord, Inc.

Associate Data - New Grad

Atlanta, GA · On-site

$56K - $57K/yr

Analyst, Engineer, and Scientist. You'll apply for the role, tell us where your strengths are, and we'll place you on the track that fits. All three tracks work closely together the best data orgs do.

Stord

Associate Data - New Grad

Atlanta, GA · On-site

$56K - $57K/yr

Analyst, Engineer, and Scientist. You'll apply for the role, tell us where your strengths are, and we'll place you on the track that fits. All three tracks work closely together the best data orgs do.

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field ... Associate DP-203, Snowflake SnowPro Core, Google Professional Data Engineer, AWS Data Engineer ...

Electrosoft

Data Analyst II

Atlanta, GA · On-site

$110K - $130K/yr

Basic Qualifications * Bachelor's degree in information systems, Data Science, or related ... Data Analyst Associate, or equivalent. * US Citizen Pay Range $110,000-$130,000 USD Electrosoft is ...

Pwc

Data Engineer - Senior Manager

Atlanta, GA

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data ... Azure Data Engineer Associate Certification) preferred * Minimum 3 years of experience working on ...

Home Depot

Senior Developer, Item Data

Atlanta, GA · On-site

... to associate developers, developers and contractors. Direct Manager/Direct Reports: * Position ... Bachelor's degree in Business, Analytics, Data Science, or a related field. * 3-5+ years of ...

SS&C

Manager, Private Markets Data Services

Atlanta, GA · Hybrid

$115K - $165K/yr

Providing training, oversight, and mentorship to Associates * Supporting corporate goals and business/departmental initiatives Required Experience * A Bachelor's degree focused on Data Science ...

PeopleNTech

Big Data Engineer

Atlanta, GA · Hybrid

$53.50 - $71/hr

Big Data Engineer/ Associate Principal Engineer Location: Atlanta, GA Shedule: Office 3 days in a ... Collaborate with architects, data engineers, and data scientists to deliver robust and scalable ...

PeopleNTech

BIG DATA ENGINEER

Atlanta, GA · Hybrid

$53.50 - $71/hr

Role: Associate Principal Engineer- BIG-DATA-ENGINEER Experience: 10 - 15 Years Location: Sandy ... Collaborate with architects, data engineers, and data scientists to deliver robust and scalable ...

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All JobsData Science Associate JobsData Science Associate Jobs in Atlanta, GA

Data Science Associate information

See Atlanta, GA salary details

$55.3K

$65.4K

$124.1K

How much do data science associate jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data science associate in Atlanta, GA is $65,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $57,200.00 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 Atlanta, GA? The most popular types of Data Science jobs in Atlanta, GA are:
What are popular job titles related to Data Science Associate jobs in Atlanta, GA? For Data Science Associate jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Atlanta, GA look for? The top searched job categories for Data Science Associate jobs in Atlanta, GA are:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Atlanta, GA as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $65,430 per year, or $31.5 per hour.
Transaction Services - Data Analytics Senior Associate

Transaction Services - Data Analytics Senior Associate

Riveron

Atlanta, GA • On-site

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

As a Transaction Services Data Analytics Senior Associate at Riveron, you will provide crucial data-driven insights for complex transactions involving private equity and corporate clients. Your role analyzes extensive datasets to uncover trends and deliver actionable recommendations that guide clients through due diligence, post-deal performance, and exit strategies. You'll translate complex data into clear insights for clients and internal teams, ensuring strategic decisions are well-informed. In this dynamic, fast-paced environment, you will stay ahead of industry trends and emerging technologies, enhancing our analytical approach, and delivering impactful results throughout the deal lifecycle.
Who You Are:
  • Bachelor's or master's in accounting, data science, data analytics, statistics, economics, or related field
  • CPA and/or audit experience preferred but not required
  • Minimum 2 years of total relevant experience involving a combination of financial due diligence for transaction services and data analytics
  • Minimum 1 years of transaction experience focused on quality of earnings, net working capital, and cash flows
  • Minimum 1years of experience with one or a combination of the following:
  • Data Visualization Tools: Experience with D3.js, Tableau, PowerBI, Spotfire, or similar platforms.
  • Data Management: Proficiency in Hadoop, SQL, Alteryx, or comparable technologies.
  • Analytics Platforms: Knowledge of SAS, Azure, or related systems.
  • Statistical Software: Familiarity with SPSS, Minitab, or similar packages.
  • Programming Languages: Competence in Python, R, or other relevant languages.
  • You thrive in an ever-changing, dynamic work environment
  • You readily identify problems and instinctively look for solutions
  • You demonstrate analytical rigor and strong written and verbal communication skills
  • You have the ability and desire to travel as required based on client location

What You'll Do:
  • Analyze extensive datasets using data management technologies (e.g., Alteryx, Hadoop, SQL) to develop cleansed and organized datasets that will serve as input into M&A models, adjustments to EBITDA tables, net working capital analyses, or other key financial metrics.
  • Employ statistical software (e.g., SPSS, Minitab) and programming languages (e.g., Python, R) to perform in-depth analysis and identify trends, risks, and opportunities within transaction data.
  • Translate complex data findings into clear, strategic recommendations for due diligence and transaction models.
  • Utilize the application of analytics platforms (e.g., SAS, Azure) throughout the transaction lifecycle to make high-quality, data-driven decision-making and insights.
  • Stay updated with industry trends and emerging technologies to enhance our data analytics capabilities and support the delivery of impactful results for clients.

Applications for this evergreen opportunity will be accepted through Dec 31, 2026.
About Riveron:
At Riveron, we partner with clients-from global multinationals to high-growth private entities-to solve complex finance challenges, guided by our DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability. Our entrepreneurial culture thrives on collaboration, diverse perspectives, and delivering exceptional outcomes. We are committed to fostering growth, both for our clients and our people, through mentorship, integrity, and a client-centric approach. This inclusive environment offers flexibility, progressive benefits, and meaningful opportunities for impactful work that supports well-being in and out of the office.
Check us out on social media:
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Riveron Consulting is an Equal Opportunity Employer and believes that we are stronger together through our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.
Full time roles are eligible for a full range of benefits including medical, dental, and vision insurance, 401(k) with company match, and PTO. A complete description of all available benefits can be found at Riveron's Benefits page at https://riveron.com/riveron-life/. Contract roles are not eligible for benefits.
Fraud Alert
Please beware of fraudulent schemes or impersonations when going through the job application process. A Riveron employee will never recruit via text or extend unsolicited employment offers. Additionally, a Riveron employee will never ask you to exchange money or purchase anything as part of the recruiting process.
Artificial intelligence (AI) tools are used to support the hiring process in screening, assessing, and/or selecting applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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