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

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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.
Lead Data Scientist, AI

Lead Data Scientist, AI

Floor & Decor Holdings, Inc.

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Floor & Decor rating

6.7

Company rating: 6.7 out of 10

Based on 235 frontline employees who took The Breakroom Quiz

205th of 716 rated retailers

Job description

Purpose:
As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.
This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.
You'll Be Successful With
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
  • 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
  • Proven track record of moving models from development into production which deliver measurable impact to the business.
  • Expert proficiency in Python and SQL. Comfortable with version control.
  • Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
  • Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
  • Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
  • You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
  • The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
  • Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
  • Strong intellectual curiosity with a bias toward action and continuous improvement.
  • Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of
  • Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
  • Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
  • Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
  • Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
  • Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
  • Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
  • Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
  • Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
  • Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
  • Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
  • Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel & environment)
  • Travel may be required including air and car travel
  • The noise level in the work environment is typically quiet to moderate.

PHYSICAL/SENSORY REQUIREMENTS
Sedentary Work - Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.
Note: Floor & Decor considers all applicants for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, medical condition, pregnancy, marital or familial status, veteran status, or based on any other class protected by applicable federal, state, or local law. Floor & Decor also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
This job description does not constitute an employment agreement between the employer and the employee and is subject to change by the employer at its sole discretion.
Benefits & Rewards
Bonus opportunities & career advancement opportunities at every level
Programs that help you reach your financial goals: 401k with company match, Employee Stock Purchase Plan, and Referral Bonus Program
Medical, Dental, Vision, Life, and other Insurance Plans (subject to eligibility criteria)
Work-life balance, including:
  • Paid vacation and sick time for eligible associates
  • Paid holidays plus a personal holiday
  • Paid Volunteer Time Off that starts on Day 1

Equal Employment Opportunity
Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.
This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

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