ZipRecruiter

Log In

1

Data Science Analytics Jobs in Georgia (NOW HIRING)

Hertz

VP Applied Data & Analytics

Atlanta, GA

$310K/yr

The ideal candidate brings a strong analytical mindset, deep experience in applied data science, and a proven ability to translate data into business value in complex operations. This role will ...

Home Depot

Data Science Manager - GenBI

Atlanta, GA · On-site

The Data Science Manager is responsible for leading a team of data scientists (individual ... Ensure best practices and vision for data analysis and model productionalization are leveraged ...

Credigy

Data & Model Operations Engineer

Norcross, GA

$107K - $128K/yr

Data & Model Operations Engineer Credit - Data Science & Analytics | Norcross, GA About This Role Data doesn't govern itself - and at Credigy, we believe the best models are only as good as the ...

New

neptune technologies

Data Scientist

Duluth, GA

This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production.

next page

Showing results 1-20

People also search for

All JobsData Science Analytics JobsData Science Analytics Jobs in Georgia

Data Science Analytics information

See Georgia salary details

$20

$46

$79

How much do data science analytics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data science analytics in Georgia is $46.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $52.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Analytics professional, and why are they important?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments. Data analysts with skills in machine learning, programming, and data visualization are increasingly valuable in this evolving environment.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is the job of data science and analytics?

Data science and analytics involve collecting, processing, and analyzing large datasets to extract meaningful insights that support decision-making. Professionals in this field use statistical methods, programming tools like Python or R, and visualization techniques to identify trends, solve problems, and improve business outcomes.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

Is 40 too late for data science?

Data science analysts and professionals can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as gaining experience through projects or certifications. Age is less important than skills, continuous learning, and adapting to industry changes.

What jobs can you get with data science and analytics?

Data science and analytics skills open opportunities for roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require proficiency in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.
What are the most commonly searched types of Data Science Analytics jobs in Georgia? The most popular types of Data Science Analytics jobs in Georgia are:
What are popular job titles related to Data Science Analytics jobs in Georgia? For Data Science Analytics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Georgia look for? The top searched job categories for Data Science Analytics jobs in Georgia are:
What cities in Georgia are hiring for Data Science Analytics jobs? Cities in Georgia with the most Data Science Analytics job openings:
Data Science Analytics jobs near you
VP Applied Data & Analytics

VP Applied Data & Analytics

Hertz

Atlanta, GA

$310K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Hertz rating

6.3

Company rating: 6.3 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

119th of 141 rated vehicle equipment hire

Job description

A Day in the Life:

We are seeking a strategic and hands-on Vice President, Applied Data & Analytics to lead the design, development, and deployment of analytics and machine learning solutions that drive measurable business outcomes. This role focuses on the full analytics value chain-from data transformation (ELT) to the development of advanced algorithms and scalable insight delivery across the organization.

The ideal candidate brings a strong analytical mindset, deep experience in applied data science, and a proven ability to translate data into business value in complex operations. This role will partner closely with stakeholders across functions to operationalize insights and foster a data-informed culture.

The salary range for this position begins at $310,000.

What You'll Do:

Data Transformation & Enablement

  • Lead enterprise ELT (Extract, Load, Transform) strategy to ensure clean, structured, and business-ready data for downstream analytics.
  • Collaborate with Vice President, Data Architecture and Infrastructure to ensure high availability, quality, and relevance of data assets for consumption.
  • Own semantic layer design and data product definition in support of enterprise-grade analytics, advanced modeling, and data democratization across the business.

Advanced Analytics & Machine Learning

  • Oversee development and deployment of predictive and prescriptive models (e.g., forecasting, recommendation systems, customer segmentation, optimization).
  • Identify and prioritize high-impact machine learning use cases in collaboration with functional leaders.
  • Establish best practices for experimentation, model governance, MLOps, and continuous improvement.

Business Intelligence & Decision Support

  • Lead the creation of dashboards, reports, and interactive tools that drive strategic and operational decisions.
  • Promote consistent KPI definitions and storytelling across the enterprise.
  • Build reusable analytics assets to enable scale, speed, and reliability in insights delivery.

Cross-Functional Collaboration & Consumption

  • Partner with commercial, operational, and corporate teams to embed analytics into workflows and business decision-making.
  • Champion self-service analytics tools and empower business teams with training, documentation, and support.
  • Drive data literacy initiatives that increase adoption and understanding of insights.

Team Leadership & Strategy

  • Build, lead, and mentor a high-performing team across data science, analytics, and BI functions.
  • Develop and execute a strategic roadmap that aligns analytics investments with enterprise priorities.
  • Promote a culture of experimentation, transparency, and continuous learning.

What We're Looking For:

  • 15+ years' experience in Analytics, Data Science, or Business Intelligence; 5+ years in a senior leadership role
  • Bachelor's Degree in Data Science, Statistics, Computer Science, Engineering, or related field, required; Master's Degree or Advanced Technical Degree, preferred 
  • Strong hands-on experience developing and deploying machine learning models and algorithms at scale.
  • Deep understanding of ELT processes, data modeling, and data product management.
  • Proficiency in modern analytics technologies (e.g., Python, SQL, DBT, Power BI, Tableau, Snowflake, Databricks).
  • Experience in Travel, Transport, Hospitality, or Automotive industries, preferred 
  • Strong executive communication skills and ability to influence cross-functional stakeholders.
  • Ability to collaborate with internal and external stakeholders across multiple functions and locations
  • Ability to influence
  • Flexible and adaptable; ability to work effectively in ambiguous situations 
  • Excellent verbal and written communication skills  
  • Results driven, ability to make decisions and help solve problems
  • Ability to build and lead a diverse, high-performing, results-oriented, and highly-engaged team.
  • Ability to drive process and organizational change.
  • Ability to motivate teams and keep a positive attitude in a fast-paced environment.
  • Ability to work under minimal supervision with a goal-oriented mindset.
  • Ability to see the big picture and leverage critical thinking and decision-making skills.
  • Excellent organization, time management, delegation, and prioritization skills.
  • Courageous leadership and accountability.

What You'll Get:

  • Up to 40% off the base rate of any standard Hertz Rental   
  • Paid Time Off
  • Medical, Dental & Vision plan options
  • Retirement programs, including 401(k) employer matching
  • Paid Parental Leave & Adoption Assistance
  • Employee Assistance Program for employees & family
  • Educational Reimbursement & Discounts
  • Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
  • Perks & Discounts -Theme Park Tickets, Gym Discounts & more
The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
 
US EEO STATEMENT 
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. 
Individuals are encouraged to apply for positions because of the characteristics that make them unique. 
EOE, including disability/veteran

What Hertz employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply