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New Grad Data Scientist Jobs in Villa Rica, GA (NOW HIRING)

Roark Capital

Senior Data Scientist

Atlanta, GA

We are seeking a Senior Data Scientist to ship production-grade models and tools across Roark ... The ideal candidate is comfortable across a wide variety of tasks, gets up to speed on a new ...

Coca-Cola

Senior Data Scientist

Atlanta, GA

Strong aptitude for learning and applying new technologies related to Data Science and Data Management. * Demonstrated ability to communicate complex analytical concepts and results at multiple ...

Guidehouse

Epidemiologist Data Scientist

Atlanta, GA · On-site

Support onboarding and training of new team members as needed. What You Will Need: * Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST. * Masters degree in Data Science, Epidemiology ...

AT&T

Lead Data Scientist

Atlanta, GA · On-site

Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks), VAEs (Variational ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

Actively seek out new business opportunities to leverage data science as a competitive advantage * 15% Technical Exploration & Development - Seek further knowledge on key developments within data ...

Home Depot

Lead Data Scientist

Atlanta, GA · On-site

Actively seek out new business opportunities to leverage data science as a competitive advantage * 25% Technical Exploration & Development - Seek further knowledge on key developments within data ...

Socket.dev

Senior Data Scientist

Atlanta, GA · On-site

$125 - $150/hr

About this role: The Data Scientist serves as a trusted professional that is experienced in ... You will develop new models and algorithms that allow our clients to make strategic decisions for ...

Socket.dev

Data Scientist, Business Ventures

Atlanta, GA · On-site

$125 - $150/hr

The Data Scientist will join the Business Ventures team, advancing data-driven decision-making ... reach new soccer audiences. * Partner with Marketing, CRM and other stakeholders to embed model ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Drive innovation by researching new algorithms, tools, and methodologies that can improve the ... Strong proficiency in data science programming languages and big data technologies, including ...

Hertz

Sr Data Scientist - Commercial

Atlanta, GA · On-site

$100 - $125/hr

The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary ... Enhance existing analytical tools and develop new solutions/tools based on large data sets * Own ...

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Showing results 41-60

All JobsNew Grad Data Scientist JobsNew Grad Data Scientist Jobs in Villa Rica, GA

New Grad Data Scientist information

See Villa Rica, GA salary details

$32.7K

$107.1K

$171.5K

How much do new grad data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for new grad data scientist in Villa Rica, GA is $107,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $118,700.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What cities near Villa Rica, GA are hiring for New Grad Data Scientist jobs?

Cities near Villa Rica, GA with the most New Grad Data Scientist job openings:

New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist job openings in Villa Rica, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,134 per year, or $51.5 per hour.

Data Scientist - Decision Analytics

Home Depot

Atlanta, GA • On-site

Full-time

Posted 8 days ago

Key responsibilities

  • Design and develop algorithms and models to extract business insights from large datasets.

  • Effectively communicate insights and recommendations to technical and non-technical audiences.

  • Collaborate with business partners and cross-functional teams to determine project goals.

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,496 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Scientist drives business profitability and seamless acquisition of The Home Depot's recent integrations by acting as a critical bridge between data engineering, analytics, and overarching business strategy. Operating in a fast-paced, startup-like environment, this role owns end-to-end analytical projects that require pivoting seamlessly between rapid, ad-hoc requests and long-term strategic execution. The position demands exceptional technical capabilities-particularly in advanced SQL, robust data wrangling, Tableau, and applied GenAI-to untangle and harmonize massive datasets across disparate company systems. Prioritizing business acumen over classical machine learning, the Data Scientist applies advanced analytics and matching algorithms to extract actionable insights, ultimately translating complex technical realities into clear, executive-ready recommendations for non-technical stakeholders, IT engineers, and other business partners.
Key Responsibilities:
  • 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position typically reports to Manager or above
  • This position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 4+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Proficient utilizing statistical techniques to identify key insights that help solve business problems
  • Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated experience in predictive modeling, data mining and data analysis

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 3

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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