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Internship Chemical Engineering Data Science Jobs in Georgia

Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or ...

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.

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 ...

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 ...

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

... with product, science, and engineering to turn ambiguous questions into rigorous analytical ... field, including internships, research, senior projects, or meaningful independent projects.

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 ...

Showing results 21-40

Internship Chemical Engineering Data Science information

What types of projects can an intern expect to work on in a chemical engineering data science internship?

As a Chemical Engineering Data Science intern, you can expect to work on projects that combine data analysis with chemical process optimization. Typical tasks may include analyzing large datasets from lab experiments or manufacturing systems, developing predictive models for process improvement, and visualizing data to support decision-making. Interns often collaborate closely with chemical engineers, data scientists, and production teams, gaining exposure to both technical and practical aspects of the field. This hands-on experience can provide valuable insights into how data science drives innovation in chemical engineering.

What is an internship in chemical engineering data science?

An internship in Chemical Engineering Data Science is a temporary position for students or recent graduates to gain hands-on experience applying data science techniques to chemical engineering problems. Interns work on projects involving data analysis, modeling, and simulation to optimize processes, improve efficiency, or solve real-world challenges in fields such as energy, pharmaceuticals, or manufacturing. This role provides valuable exposure to both chemical engineering concepts and advanced data science tools, preparing interns for careers at the intersection of these disciplines.

What is the difference between Internship Chemical Engineering Data Science vs Internship Chemical Engineering?

AspectInternship Chemical Engineering Data ScienceInternship Chemical Engineering
Required CredentialsRelevant coursework in chemical engineering and data science, possibly some programming skillsBasic chemical engineering knowledge, possibly some engineering coursework
Work EnvironmentData analysis labs, software development environments, research teamsProcess plants, laboratories, manufacturing facilities
Employer & Industry UsageTech companies, consulting firms, R&D departments in chemical industriesChemical plants, manufacturing companies, energy sectors

Internship Chemical Engineering Data Science focuses on applying data analysis and programming skills to chemical engineering problems, often in tech-driven environments. In contrast, Internship Chemical Engineering emphasizes traditional chemical processes and manufacturing. Both roles require foundational chemical engineering knowledge but differ in technical focus and work settings.

Can a chemical engineer become a data scientist?

A chemical engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or certifications. Their strong analytical background and experience with process data can be valuable in data science roles, especially in industries like manufacturing or energy. Transitioning may also involve learning tools such as Python, R, and data visualization software.

What are the key skills and qualifications needed to thrive as an internship chemical engineering data science?

To excel in an Internship in Chemical Engineering Data Science, you typically need a background in chemical engineering, strong analytical abilities, and foundational knowledge of data analysis and statistics. Familiarity with programming languages such as Python or R, data visualization tools, and simulation software is often required. Effective communication, problem-solving skills, and the ability to collaborate within multidisciplinary teams set top candidates apart. These competencies are crucial for interpreting complex data, developing innovative solutions, and contributing to data-driven decision-making in engineering projects.
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:
What are popular job titles related to Internship Chemical Engineering Data Science jobs in Georgia? For Internship Chemical Engineering Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Internship Chemical Engineering Data Science jobs in Georgia look for? The top searched job categories for Internship Chemical Engineering Data Science jobs in Georgia are:

Sr. Data Scientist

ARC Group

Atlanta, GA

Full-time

Re-posted 23 days ago


Job description

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 in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met.
This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems.
This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering).
Data Scientist Responsibilities:
  • Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements
  • Develop data models top optimize and improve work of e-commerce functions
  • Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance
  • Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance
  • Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics
  • Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape
Data Scientist Requirements:
  • Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science).
  • Must have data modeling, predictive analytics and/or machine learning experience
  • 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software
  • MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS
  • Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI
  • This is not a developer position, but you must possess strong SQL coding skills
  • Experience in data mining and understanding of machine-learning and operations research is an advantage
  • Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills
Nice to have:
  • Experience in data mining and understanding of machine-learning and operations research is an advantage
  • Proficiency in Excel, PowerPoint, MS Access is a plus
  • Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark
  • Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset
  • Knowledge of Python will be a plus

Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.
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ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed.
We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.