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Data Scientist Jobs in Decatur, GA (NOW HIRING)

Resolution Technologies

Sr. Data Scientist

Atlanta, GA · On-site

Senior Data Scientist About the Role Our client is looking for a Senior Data Scientist for a long-term engagement with a pharmaceutical client. This is a hands-on, end-to-end role embedded directly ...

New

Equifax, Inc.

Data Scientist - Career

Atlanta, GA · On-site

Job Summary Equifax Enterprise Innovation Office is seeking a Data Scientist who can integrate diverse big data assets into analytical solutions under management guidance to solve difficult business ...

Munich Re

Data Scientist, AI

Atlanta, GA · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Smarsh

Lead Data Scientist

Atlanta, GA

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

Smarsh

Lead Data Scientist

Atlanta, GA

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely ...

AIG

Data Scientist, GenAI

Atlanta, GA · On-site

How you will create impact As a Data Scientist at AIG, you will serve a critical role in the architecture, development, and delivery of impactful enterprise-level Generative AI solutions. We are ...

Honeywell

Advanced Data Scientist

Atlanta, GA

As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and ...

New

ARC Group

Sr. Data Scientist

Atlanta, GA

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

Applied Data Scientist Applied Research Group - Supply Chain Optimization About GAINS GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our decision ...

Home Depot

Principal Data Scientist, Online

Atlanta, GA · On-site

The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Minimum 8+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

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All JobsData Scientist JobsData Scientist Jobs in Decatur, GA

Data Scientist information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do data scientist jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data scientist in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

Is a data scientist job still in-demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Decatur, GA? The most popular types of Data Scientist jobs in Decatur, GA are:
What are popular job titles related to Data Scientist jobs in Decatur, GA? For Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Decatur, GA look for? The top searched job categories for Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Scientist jobs? Cities near Decatur, GA with the most Data Scientist job openings:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Decatur, GA as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 91% In-person, 6% Hybrid, and 3% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.
Sr. Data Scientist

Sr. Data Scientist

Resolution Technologies

Atlanta, GA • On-site

Other

Posted 2 days ago

New

Job description

Job Description
Senior Data Scientist
About the Role
Our client is looking for a Senior Data Scientist for a long-term engagement with a pharmaceutical client. This is a hands-on, end-to-end role embedded directly within the client's data and AI team. The data scientist builds machine learning models and predictive analytics solutions and owns the data engineering behind them-including transformation, cleanup, and automated ingestion of new data-as well as the full MLOps lifecycle.
The client is establishing its production ML capability and does not yet have a model running in production, so this person should be comfortable taking raw, messy data all the way to a monitored production model and helping shape the operating model and MLOps framework as they go. This individual operates independently as a trusted member of the team while bringing the collective experience, methodologies, and reusable frameworks of our broader data and AI practice to bear.
Sr. Data Scientist Primary Responsibilit
  • Build, train, and validate ML models supporting predictive analytics use cases (e.g., batch/resource optimization and exception pattern recognition in a manufacturing setting).
  • Develop and maintain data transformation and cleanup pipelines in Snowflake, turning raw source data into modeling-ready datasets.
  • Automate ingestion and processing of new and recurring data feeds, accounting for data that may arrive from external systems or partners with latency.
  • Own the full ML lifecycle in AWS SageMaker (or Snowflake-native ML where appropriate): training, deployment, monitoring, retraining, and drift detection.
  • Implement MLOps practices: CI/CD for ML, model versioning, automated pipelines, and performance monitoring.
  • Evaluate the client's existing environment-including Snowflake's native MLOps capabilities-and recommend the most cost-effective, fit-for-purpose path before building from scratch.
  • Contribute to a blueprint for the client's ML operating model: where models are trained, how they are promoted and deployed, and how users access outputs (e.g., dashboards or batch inputs).
  • Collaborate with stakeholders to translate business requirements into production solutions, and deliver work phase by phase, starting with the lowest-effort, highest-value use cases.
Sr. Data Scientist Required Data Science & Engineering Qualifications and Experience
  • Proven experience building and deploying ML models in production.
  • Strong Python and ML libraries (scikit-learn, XGBoost, TensorFlow, or PyTorch).
  • Strong data engineering skills: SQL, data transformation, and pipeline development (e.g., dbt, Snowflake-native, or equivalent).
  • Hands-on Snowflake experience for warehousing, transformation, and ingestion.
  • Hands-on AWS SageMaker experience across the model lifecycle.
  • MLOps tooling: CI/CD for ML, monitoring, automated retraining, and version control.
  • Ability to work independently and reliably in a staff augmentation capacity as part of the client's team.
Sr. Data Scientist Preferred Pharmaceutical / Regulated-Industry Experience Qualifications
  • Prior experience in pharma, life sciences, or another regulated industry.
  • Familiarity with GxP, HIPAA, or 21 CFR Part 11.
  • Understanding of data privacy and validation requirements in regulated settings.
Sr. Data Scientist Additional Skills
  • Orchestration (Airflow, Step Functions), infrastructure-as-code (Terraform/CloudFormation), and containerization (Docker).
What Sets a Strong Sr. Data Scientist Candidate Apart
Above all, we value honesty about capability. The client is looking for a resource whose demonstrated experience matches their resume-someone they can trust to assess the landscape, make sound technical judgments, and pick up new areas (such as agentic or generative AI) as the engagement matures. A candidate who can build production ML solutions while helping mature the surrounding framework will be an ideal fit.
#DICEJOBS
#RT
Job Requirements
snowflake, AWS sagemaker, data scientist, python, ml ops
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I'm happy to connect with you on your next career challenge. Whatever your needs are, we at Resolution Technologies promise to provide unrivaled quality and service. Please don't hesitate to contact me if you have any questions about this position.

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