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Senior Scientist Jobs in Decatur, GA (NOW HIRING)

LexisNexis

Senior Data Scientist II

Alpharetta, GA · On-site

Do you thrive in senior, hands-on data science roles where you apply deep healthcare domain expertise, influence technical decisions, and translate advanced models into real-world impact? About the ...

Hertz

Sr Data Scientist - Commercial

Atlanta, GA

$105K/yr

The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role ...

Hertz

Sr Data Scientist - Commercial

Atlanta, GA · On-site

$105K/yr

The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role ...

GoTo Foods

Sr. Director, Data Science

Atlanta, GA · On-site

As the Senior Director of Data Science at GoTo Foods, you will lead a high-performing team of data scientists, overseeing critical data science initiatives that directly impact business growth and ...

RELX Group plc

Senior Data Scientist I

Alpharetta, GA · On-site

About the Role We are seeking a Senior Data Scientist I to join our Insurance Analytics team, with a strong foundation in actuarial science, statistical modeling, and data science. In this role, you ...

RELX

Senior Data Scientist I

Alpharetta, GA · On-site

About the Role We are seeking a Senior Data Scientist I to join our Insurance Analytics team, with a strong foundation in actuarial science, statistical modeling, and data science. In this role, you ...

LexisNexis

Senior Data Scientist I

Alpharetta, GA · On-site

About the Role We are seeking a Senior Data Scientist I to join our Insurance Analytics team, with a strong foundation in actuarial science, statistical modeling, and data science. In this role, you ...

Relativity

Senior Applied Scientist

Atlanta, GA · On-site +1

... a Senior Applied Scientist, Generative AI, you will design, build, and deploy generative and machine learning models that power Relativity's next generation of AI-driven product capabilities. You ...

The Hertz Corporation

Sr Data Scientist

Atlanta, GA

$105K/yr

At Hertz, our senior data scientists are responsible developing and defining best practices for analytical methods to generate informative research, reports, visualizations, and dashboards using ...

RELX Group plc

Senior Data Scientist I

Alpharetta, GA · On-site

$95.30K - $158.80K/yr

Senior Data Scientist I About the role: Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business ...

Hertz

Sr Data Scientist

Atlanta, GA

$105K/yr

At Hertz, our senior data scientists are responsible developing and defining best practices for analytical methods to generate informative research, reports, visualizations, and dashboards using ...

Hertz

Sr Data Scientist

Atlanta, GA · On-site

$105K/yr

At Hertz, our senior data scientists are responsible developing and defining best practices for analytical methods to generate informative research, reports, visualizations, and dashboards using ...

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Senior Scientist information

See Decatur, GA salary details

$64.9K

$107.9K

$160.6K

How much do senior scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for senior scientist in Decatur, GA is $107,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $122,000.00 per year, depending on experience, location, and employer.

What Is a Senior Scientist?

A senior scientist is a research professional who oversees a lab or the development of a research project and directs other scientists and assistants to carry out tasks on the project. In an academic setting, your duties and responsibilities also include overseeing doctoral dissertations and teaching classes. As a senior scientist, you can work in many industries outside academia, including the pharmaceutical, petrochemical, and medical products industries. Due to the variety of employment options, your exact duties can change from job to job.

What are the key skills and qualifications needed to thrive as a Senior Scientist, and why are they important?

To thrive as a Senior Scientist, you need advanced expertise in your scientific field, a relevant Ph.D. or equivalent experience, and a strong track record of research accomplishments. Familiarity with laboratory management software, data analysis tools, and often regulatory compliance systems is typically required. Strong leadership, critical thinking, and effective communication skills help you lead teams, collaborate across disciplines, and secure funding. These abilities are crucial for driving innovative research, ensuring rigorous scientific standards, and advancing organizational goals.

How does a Senior Scientist typically contribute to cross-functional project teams?

Senior Scientists play a crucial role in cross-functional teams by providing deep subject-matter expertise, designing experiments, and interpreting complex data to drive project outcomes. They often collaborate closely with research associates, project managers, and professionals from regulatory, quality, and manufacturing departments. Effective communication and the ability to translate scientific findings for non-technical stakeholders are essential aspects of their daily work. This collaborative environment allows Senior Scientists to influence project direction and mentor junior team members while advancing their own leadership skills.

What are Senior Scientists?

Senior Scientists are experienced professionals who lead scientific research projects and teams within organizations such as universities, research institutes, or private companies. They design experiments, analyze data, and interpret results to advance knowledge in their field. Senior Scientists also mentor junior staff, secure research funding, and often publish findings in scientific journals. They typically have advanced degrees (such as a PhD) and years of experience in their area of expertise.

What is the difference between Senior Scientist vs Research Scientist?

AspectSenior ScientistResearch Scientist
Required CredentialsTypically PhD in relevant field, extensive research experienceUsually Master's or PhD, early to mid-career research experience
Work EnvironmentLeads projects, mentors junior staff, collaborates across teamsConducts experiments, data analysis, supports research projects
Employer & Industry UsagePharmaceuticals, biotech, academia, R&D divisionsUniversities, research institutes, industry R&D

In summary, Senior Scientists generally have more experience, leadership responsibilities, and mentorship roles compared to Research Scientists, who focus more on conducting experiments and supporting research activities.

More about Senior Scientist jobs
What are the most commonly searched types of Scientist jobs in Decatur, GA? The most popular types of Scientist jobs in Decatur, GA are:
What are popular job titles related to Senior Scientist jobs in Decatur, GA? For Senior Scientist jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Senior Scientist jobs in Decatur, GA look for? The top searched job categories for Senior Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Senior Scientist jobs? Cities near Decatur, GA with the most Senior Scientist job openings:
Senior Scientist jobs near you
Infographic showing various Senior Scientist job openings in Decatur, GA as of May 2026, with employment types broken down into 96% Full Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $107,928 per year, or $51.9 per hour.

Senior Data Scientist II

LexisNexis

Alpharetta, GA • On-site

Full-time

Medical, Life

Posted 29 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

148th of 425 rated business services

Job description

Do you thrive in senior, hands-on data science roles where you apply deep healthcare domain expertise, influence technical decisions, and translate advanced models into real-world impact?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle all while reducing risk. You can learn more about LexisNexis Risk at the link below.
https://risk.lexisnexis.com/insurance
About the Team:
You'll join a collaborative, high-impact analytics team that partners closely with product, engineering, and business leaders to turn complex data into trusted, production-ready insights that drive smarter decisions across the insurance lifecycle.
About the Role:
The Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions. This role independently executes complex analytical work, translating well defined problem statements into scalable machine learning solutions across the full modeling lifecycle.
This position is intentionally AI forward, suited for a practitioner with hands on experience building, operationalizing, and integrating models into production systems. The Senior Data Scientist II collaborates closely with engineering, product, and platform teams and communicates analytical insights to both technical and non technical stakeholders.
Key Responsibilities:
  • Design, build, and implement machine learning and statistical models to support analytics and AI use cases.
  • Independently execute complex analytical projects within defined scope, including data exploration, feature engineering, modeling, and evaluation.
  • Contribute to end-to-end AI solutions, supporting data pipelines, model training, inference, and integration with downstream systems.
  • Support the development and integration of model inference services and APIs that enable real-time or near-real-time AI workflows.
  • Operationalize models in production or near-production environments, following established engineering and analytics best practices.
  • Collaborate with engineering and platform teams on APIs, services, and analytics infrastructure.
  • Develop reusable analytical components that support scalability and maintainability.
  • Participate in technical design discussions and code reviews, reinforcing team standards and best practices.
  • Communicate analytical results, model performance, and limitations to internal stakeholders.
  • Support model monitoring, documentation, validation, and ongoing improvement activities.

Requirements:
  • Proven Data Science experience, Advanced academic experience-such as a Master's degree or Doctoral degree in a related discipline-may substitute for part of the required experience
  • Solid experience in applying machine learning and statistical techniques to real-world problems.
  • Hands-on experience developing, evaluating, and iterating on predictive and machine learning models.
  • Experience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques.
  • Experience working with structured and unstructured data at scale.
  • Proficiency in Python and/or R using common data science and machine learning libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch).
  • Experience working with SQL and relational or cloud-based data platforms.
  • Hands-on experience developing and running data science and AI workloads in cloud environments such as AWS and Azure, including compute, storage, monitoring, and cost-aware execution.
  • Exposure to modern AI frameworks and tools, including large language model (LLM)-based solutions and retrieval-augmented workflows.
  • Experience training, fine-tuning, or evaluating neural network-based models as part of applied machine learning solutions.
  • Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
  • Ability to independently execute complex analytical work within defined scope.
  • Clear and effective communicator, able to explain technical ideas in a way that's easy for non-technical audiences to understand.

Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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