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Operation Research Data Scientist Jobs in Decatur, GA

Data Strategy & Research: Research and propose cutting-edge data science techniques and ... Work with stakeholders across various departments (e.g., marketing, finance, operations) to ...

This role spans data science, applied AI (including generative AI and LLM-based systems ... Research and apply emerging AI techniques to improve product capabilities and operational ...

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... Master's degree or higher in Mathematics, Computer Science, Engineering, Operations Research ...

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... Master's degree or higher in Mathematics, Computer Science, Engineering, Operations Research ...

... researchers, to identify opportunities, design solutions, and deliver high-impact projects that ... data scientists and contribute to the growth and development of the data science team. โ€ข ...

Bachelor's or Master's degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Operations Research or other quantitative discipline. Ph.D ...

Integrate external research and capabilities into real-world operational testing within fulfillment workflows. Basic Qualifications: * Master's degree or PhD in Data Science, Operations Research ...

... Research or Pricing as appropriate. May be internal operations-focused or external client-focused ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

... Research or Pricing as appropriate. May be internal operations-focused or external client-focused ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months โ€ข Oversees and performs ... top-end data based research. Design data mining solutions to be implemented and executed with ...

Data Scientist

Atlanta, GA ยท On-site +1

$99K - $225K/yr

Across private and public sectors-from fraud detection to cancer research to national intelligence-we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll ...

Showing results 21-40

Operation Research Data Scientist information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do operation research data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for operation research 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 is an operation research data scientist?

An Operations Research Data Scientist is a professional who combines advanced analytical, statistical, and mathematical modeling techniques to solve complex business problems and optimize processes. They utilize tools from operations research, such as linear programming, simulation, and optimization algorithms, alongside data science skills like machine learning and data analysis. Their goal is to help organizations make data-driven decisions that improve efficiency, reduce costs, and enhance overall performance.

How do operation research data scientists typically collaborate with cross-functional teams to implement data-driven solutions?

Operation Research Data Scientists often work closely with colleagues from engineering, product management, and business analytics to translate complex mathematical models into actionable strategies. They participate in regular meetings to align on project goals, share analytical findings, and integrate optimization algorithms into existing systems. Collaboration involves clear communication of technical concepts to non-technical stakeholders and iteratively refining solutions based on feedback, ensuring that their work delivers tangible value to organizational objectives.

What are the key skills and qualifications needed to thrive as an operation research data scientist, and why are they important?

To thrive as an Operations Research Data Scientist, you need a solid background in mathematics, statistics, optimization, and computer science, often supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with optimization libraries (like Gurobi or CPLEX), and familiarity with data analysis platforms are typically required. Strong problem-solving abilities, communication skills, and business acumen set standout professionals apart in this role. These competencies are crucial for developing actionable solutions to complex business problems and effectively communicating insights to stakeholders.

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

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

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

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

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

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

Infographic showing various Operation Research Data Scientist job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.

Data Scientist

Atlanta, GA โ€ข On-site

nLeague Services Inc
IT Servicesย โ€ขย 11 - 50 employees

Contractor

Re-posted 19 days ago


Job description

Job ID: 65041
Data Scientist
Client: City of Atlanta- Aviation
Duration: 
Location: 6000 N. Terminal Pkwy, Atlanta, GA 30320
Onsite
 
General Description and Classification Standards 
The Data Scientist is responsible for maintaining and enhancing the organization's data infrastructure, creating advanced analytics solutions, and leveraging machine learning to improve decision-making and business efficiency. You will oversee the deployment, configuration, and continuous improvement of data models and infrastructure, ensuring robust performance and data security. In this role, you will work collaboratively with cross-functional teams to achieve organizational goals, offering innovative data-driven insights and solutions.
Supervision Received 
Works under minimal supervision. May work independently with responsibility for specific functions or programs. Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts.
Essential Duties & Responsibilities 
  • Fully support, configure, maintain, and upgrade networks and servers at the Department of Aviation
  • Model Development and Optimization: Design, build, and refine predictive models and algorithms to enhance decision-making and drive business value.
  • Data Infrastructure Management: Maintain and optimize data pipelines, ensuring data integrity, security, and performance across the organization.
  • Data Strategy & Research: Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives.
  • Advanced Analytics & Insights: Provide deep analytical insights to solve complex business problems using statistical models, machine learning, and artificial intelligence.
  • Collaboration: Work with stakeholders across various departments (e.g., marketing, finance, operations) to understand data needs and deliver tailored analytics solutions.
  • Network & System Optimization: Ensure the organization’s data systems and models are operating at optimal levels, performing regular updates and improvements.
  • Performance Monitoring: Oversee the monitoring of data model performance, ensuring accuracy, scalability, and stability.
  • Technical Documentation: Write and maintain comprehensive documentation for all data science projects, including system architecture, model performance, and experiment results.
  • Customer-Focused Approach: Deliver clear, actionable insights to non-technical stakeholders, supporting business units in leveraging data for enhanced decision-making.
  • Mentorship: Act as a technical resource and mentor for junior data scientists and data analysts, guiding them in best practices, troubleshooting, and project execution.
Essential Duties & Responsibilities 
Support:
·    Respond to and resolve complex data-related issues, collaborating with IT support teams as necessary.
·    Ensure compliance with data governance and security standards.
·    Provide recommendations for improving data infrastructure and processes to increase business efficiency.
·    Deliver ongoing support for mission-critical business functions through data-driven strategies.
·    Develop and maintain data recovery and contingency plans in case of system failure or other disruptions.
Decision Making 
  • Selects from multiple procedures and methods to accomplish tasks. Follows standardized procedures and written instructions to accomplish assigned tasks.
  • Selects appropriate data science methodologies and tools to achieve business goals.
  • Exercises judgment in balancing short-term project deliverables with long-term data strategy.
  • Influences business decisions by providing actionable insights based on thorough data analysis.
Leadership Provided
  • Serves as a technical resource or mentor to other employees. 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 members.
  • Contributes to the strategic direction of the data science function within the organization.
  • Presents insights and findings to upper management, recommending improvements to data strategy and network infrastructure.
Knowledge, Skills & Abilities 
  • Technical Expertise: Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics. Proficient in Python, R, SQL, and common machine learning frameworks (e.g., TensorFlow, Scikit-learn).
  • Data Infrastructure: Strong experience working with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Problem-Solving: Ability to design and implement innovative solutions to complex problems, leveraging data to drive business improvements.
  • Communication: Excellent oral and written communication skills with the ability to explain complex technical concepts to non-technical audiences.
  • Collaboration: Proven ability to work across departments and manage multiple projects or tasks concurrently.
  • Leadership: Experience leading and mentoring teams, guiding them toward achieving technical excellence.
  • Security and Compliance: Familiarity with data security best practices, ensuring compliance with industry standards.
Non-Technical Skills
  • Project Management: Capable of managing multiple projects simultaneously while meeting deadlines and maintaining high standards of quality.
  • Self-Motivation: Uses initiative and independent judgment to undertake activities with minimal supervision.
  • Adaptability: Responds constructively to new information, changing conditions, and unexpected challenges.
  • Customer Service: Focuses on delivering value-driven, responsive solutions to both internal and external stakeholders.
 
Qualifications:
 Minimum Qualifications
Education and Experience 
  • Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field equivalent professional experience may be considered.
  • Experience: 5+ years of experience in data science, data engineering, or related fields with hands-on experience in deploying machine learning models.
Preferred Education & Experience
  • Master’s or PhD in Data Science, Machine Learning, Computer Science, or a related field.
  • Experience in leading data science teams or large-scale projects within an enterprise setting.
  • Experience with Databricks, including designing, deploying, and optimizing machine learning models in the Databricks environment.
  • Expertise in cloud platforms, especially Azure and AWS, including experience with data storage, model deployment, and scaling cloud-based solutions.
  • Experience with Environmental Systems Research Institute (ESRI) and geographic information system (GIS) analytics, with a focus on spatial data analysis and location-based insights.
  • Strong background in Azure Data Services (e.g., Azure Data Lake, Azure Machine Learning) and AWS Machine Learning Services (e.g., SageMaker, Redshift, Lambda)..
Certifications
Relevant certifications in machine learning, data science, cloud computing, or network administration (e.g., AWS Certified Data Analytics, DataBricks, Microsoft Azure Data Scientist Associate) are highly desirable