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Chemical Engineering Data Science Jobs in Georgia

They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure ... with engineers to ensure data accuracy and data pipelines are quality-checked before being ...

We will incorporate best-in-class engineering and product management principles and your guidance ... We are an applied data science team operating in an agile, production-oriented environment, and we ...

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects * Provide ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Classroom Instructor & Course Developer - with a Data Engineering background Fort Eisenhower ... Develop data science, zero-trust cybersecurity methodologies, and development-related training ...

We are looking for a Data Science Analyst who can not just report on performance, but also ... Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked ...

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Showing results 21-40

Chemical Engineering Data Science information

See Georgia salary details

$19.8K

$77.6K

$152.5K

How much do chemical engineering data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for chemical engineering data science in Georgia is $77,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,903.00 and $108,150.00 per year, depending on experience, location, and employer.

What is a chemical engineering data science?

A Chemical Engineering Data Science job combines chemical engineering principles with data science techniques to analyze and optimize chemical processes. Professionals in this field work with large datasets, machine learning models, and statistical methods to improve efficiency, reduce costs, and enhance safety in industries such as pharmaceuticals, energy, and materials. They may develop predictive models, conduct simulations, and implement AI-driven solutions to solve complex engineering challenges. This role requires expertise in programming, data analytics, and chemical process understanding to drive data-informed decision-making.

What are the key skills and qualifications needed to thrive in chemical engineering data science?

To succeed in Chemical Engineering Data Science, you need a strong background in chemical engineering principles, statistical analysis, and programming (usually with Python, R, or MATLAB), often supported by a degree in chemical engineering or data science. Familiarity with machine learning algorithms, process simulation software (like Aspen Plus or HYSYS), and data visualization tools is highly valuable, and certifications in data analytics or Six Sigma can be advantageous. Strong analytical thinking, problem-solving, and effective communication skills help you interpret data-driven insights and collaborate with multidisciplinary teams. These competencies are essential for solving complex engineering problems, optimizing processes, and delivering actionable results in data-intensive chemical industry settings.

What does a chemical engineering data science do?

Professionals in Chemical Engineering Data Science typically spend their days collecting and cleaning process data, developing data models to predict or optimize chemical operations, and interpreting analytical results to improve production efficiency or product quality. They often use specialized software to simulate chemical processes and collaborate closely with engineers, plant operators, and IT professionals to implement data-driven solutions. Regular tasks may also include creating reports and data visualizations, troubleshooting data quality issues, and supporting digital transformation projects within manufacturing environments. The role is dynamic and requires continual learning as new tools and methodologies emerge, making strong communication skills and adaptability especially important.

Can a chemical engineering data scientist become a data scientist?

A chemical engineering data scientist can transition to a general data scientist role by developing skills in programming, statistical analysis, and machine learning. Their background in chemical processes and data analysis can be valuable, but they may need to gain experience with broader data tools and techniques used across industries. Certifications or training in data science are often helpful for this career shift.
What are the most commonly searched types of Chemical Engineering Data Science jobs in Georgia? The most popular types of Chemical Engineering Data Science jobs in Georgia are:
Infographic showing various Chemical Engineering Data Science job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $77,579 per year, or $37.3 per hour.

Data Science Analyst

Further

Atlanta, GA • On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Further is a data, cloud, and AI company focused on helping businesses turn raw data into meaningful decisions. They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure clients derive measurable business value from their data.
Responsibilities:
• Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
• Assist in designing and executing reporting, analytics, and optimization briefs.
• Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
• Perform analysis to uncover actionable insights and develop data-driven recommendations
• Present findings to internal and client stakeholders in a clear, business-focused way.
Qualifications:
Required:
• 2–5 years of professional experience in data science or advanced marketing analytics.
• Strong command of R and/or Python for data manipulation and statistical analysis.
• Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design.
• Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.
Preferred:
• Proficiency in SQL for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
• Exceptional 'data-to-story' skills—the ability to explain the 'so what' behind a coefficient or a p-value.
• Adobe Analytics
Company:
Further is a data, cloud, and AI company whose sole focus is helping you turn raw data into the right decisions. Founded in 2004, the company is headquartered in Atlanta, USA, with a team of 51-200 employees. The company is currently Growth Stage.