1

Experienced Data Scientist Jobs in Decatur, GA (NOW HIRING)

Cary, NC (Onsite/Hybrid from Day 1) We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine ...

This role reflects a seasoned, fully qualified data science professional with wide-ranging experience. The Data Scientist 4 applies professional concepts and company objectives to resolve complex ...

WHAT YOU'LL DO We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Health ...

WHAT YOU'LL DO We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Health ...

Health Data Scientist

Atlanta, GA · On-site

$87 - $198/hr

We need an experienced data health scientist like you to help our clients find answers in their data to impact important missions, from supporting clinical decision-making to accelerating public ...

Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ... data science, quantitative marketing, operations research, industrial engineering, etc.

May lead or instruct less experienced workers in high level or technical jobs. * Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization.

Experience with most or all of the following basic data science tools: Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability ...

New

Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

... Data Scientist with expertise in deep learning, particularly as applied to a combination of text ... Work Experience And Education Requirements • Master's degree in Computer Science, Statistics ...

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note ... Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Cloud experience preferred * Develops, analyzes and models operational, economic, management ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

R115426Are you passionate about using data science to drive smarter risk decisions and create ... Cloud experience preferred* Develops, analyzes and models operational, economic, management ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Cloud experience preferred * Develops, analyzes and models operational, economic, management ...

next page

Showing results 1-20

Experienced Data Scientist information

See Decatur, GA salary details

$44.9K

$161.1K

$237.7K

How much do experienced data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for experienced data scientist in Decatur, GA is $161,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $166,000.00 per year, depending on experience, location, and employer.

What is an experienced data scientist?

Experienced data scientists are professionals who have a strong background in data analysis, statistical modeling, and machine learning, typically with several years of industry experience. They use advanced analytical techniques to extract insights from complex data sets, helping organizations make data-driven decisions. In addition to technical skills, they often possess domain expertise, strong problem-solving abilities, and experience in communicating their findings to both technical and non-technical stakeholders. Their work may involve designing experiments, building predictive models, and deploying machine learning solutions in production environments.

What are the key skills and qualifications needed to thrive as an experienced data scientist?

To thrive as an Experienced Data Scientist, you need advanced statistical analysis, machine learning expertise, strong programming skills (often in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL, and cloud platforms, as well as certifications in data science or analytics, are commonly expected. Outstanding problem-solving, communication skills, and business acumen help you translate complex data insights into actionable strategies. These skills are essential for delivering impactful solutions and driving data-informed decision-making within organizations.

What are some typical challenges an experienced data scientist faces when working on cross-functional teams?

Experienced data scientists often collaborate with cross-functional teams, such as product managers, engineers, and business analysts. A common challenge in this environment is effectively communicating complex analytical findings in a way that is actionable for non-technical stakeholders. Additionally, aligning data science objectives with broader business goals and navigating differing priorities can require strong negotiation and project management skills. Overcoming these challenges is key to ensuring that data-driven insights are not only understood but also implemented to drive impact.

What is the difference between Experienced Data Scientist vs Data Analyst?

AspectExperienced Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications are optional
Work EnvironmentDevelops models, algorithms, and predictive analytics; works on complex data projectsPrepares reports, visualizations, and performs data cleaning and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and business intelligence

In summary, an Experienced Data Scientist typically handles advanced analytics, machine learning, and predictive modeling, requiring more technical skills and higher education. Data Analysts focus on data cleaning, reporting, and visualization, often with less emphasis on complex modeling. Both roles are essential but differ in scope and technical depth.

How much do experienced data scientists make?

Experienced data scientists typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or big data tools can command higher compensation, often exceeding $160,000 per year.

What are popular job titles related to Experienced Data Scientist jobs in Decatur, GA?

For Experienced Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Experienced Data Scientist jobs in Decatur, GA look for?

The top searched job categories for Experienced Data Scientist jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Experienced Data Scientist jobs?

Cities near Decatur, GA with the most Experienced Data Scientist job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Cary, NC (Onsite/Hybrid from Day 1)
Job Description

We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.

Key Responsibilities
  • Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.
  • Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.
  • Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.
  • Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.
  • Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.
  • Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.
  • Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.
  • Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.
  • Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.
  • Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.
  • Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.
  • 5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.
  • Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.
  • Strong experience developing Machine Learning models using Python, preferably in cloud environments.
  • Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.
  • Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).
  • Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.
  • Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.
  • Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.
  • Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.
Preferred Qualifications
  • Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.
  • Experience implementing MLOps and model lifecycle management practices in cloud environments.
  • Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.
  • Experience working within highly regulated environments such as Insurance or Financial Services.

The base compensation range for this role in the posted location is: 85786- 97273

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media