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Chemical Engineering Data Science Jobs in Florida

... in data engineering, data science, and Artificial Intelligence/Machine Learning (AI/ML). You will be responsible for translating mission needs into high-impact technical solutions, from data ...

The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.

The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.

Lead and provide technical oversight for data engineering, data science, analytics, and predictive analytics teams in support of operational mission objectives. * Establish strategic priorities for ...

The contractor shall establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...

Establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams. * Submit the ...

We are seeking a Head of Data Science to lead a growing team of full-stack data scientists ... Partner closely with senior leadership, product, engineering, risk operations, marketing, and sales ...

Data Science Tutor

Fort Pierce, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Doral, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Miami Beach, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Miramar, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Tallahassee, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Sunrise, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Miami, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Hialeah, FL ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

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Showing results 1-20

Chemical Engineering Data Science information

See Florida salary details

$20.3K

$79.4K

$156.1K

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

As of Jul 26, 2026, the average yearly pay for chemical engineering data science in Florida is $79,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,829.00 and $110,726.00 per year, depending on experience, location, and employer.

What is a Chemical Engineering Data Science job?

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 the Chemical Engineering Data Science position, and why are they important?

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 are the typical daily responsibilities of someone working in Chemical Engineering Data Science?

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.

What are the most commonly searched types of Chemical Engineering Data Science jobs in Florida? The most popular types of Chemical Engineering Data Science jobs in Florida are:
What are popular job titles related to Chemical Engineering Data Science jobs in Florida? For Chemical Engineering Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Chemical Engineering Data Science jobs in Florida look for? The top searched job categories for Chemical Engineering Data Science jobs in Florida are:
Infographic showing various Chemical Engineering Data Science job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $79,427 per year, or $38.2 per hour.
Data Scientist Lead

Data Scientist Lead

ECS

Tampa, FL โ€ข On-site

Full-time

Posted 18 days ago


Job description

Everforth ECS is seeking a Data Scientist Lead to join our team in Tampa, FL.
The successful candidate will be a senior subject matter expert in data science, leading a team of data professionals to enhance the command's data-driven decision-making capabilities. This role requires a demonstratable history of designing, developing, and operationalizing advanced analytical solutions within Military, Federal, or Intelligence organizations.
The Data Scientist Lead will provide oversight for the Data Management team and drive the implementation of strategic initiatives in data engineering, data science, and Artificial Intelligence/Machine Learning (AI/ML). You will be responsible for translating mission needs into high-impact technical solutions, from data ingestion and model development to the deployment of full-stack AI-driven capabilities that directly support military operations.
Key Responsibilities:
  • Provide comprehensive leadership and oversight for the data engineering, analytics, and predictive analytics team, ensuring all services align with strategic operational objectives.
  • Lead the development and implementation of advanced analytics, statistical model development, data governance, and the integration of innovative technologies to inform operational decisions.
  • Apply advanced machine learning and AI techniques, including unsupervised, supervised, reinforcement learning, and generative AI (e.g., Large Language Models, multi-modal AI), to identify patterns and generate mission-critical insights.
  • Oversee the development, deployment, and maintenance of high-quality, fault-tolerant data pipelines to clean, tag, and ingest structured and unstructured data into data lakes and lakehouses.
  • Direct the data science lifecycle, from exploration and algorithm development to statistical validation and solution operationalization, ensuring deployed capabilities meet mission requirements.
  • Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data Officer (XDO), and participate in relevant forums to interpret mission needs and define operational data requirements.
  • Serve as the senior technical advisor for the team, guiding the use of query languages (SQL), programming languages (Python, R), and analytics platforms to enable data-driven decisions.
  • Translate highly technical information and findings into clear, actionable insights for a broad, non-technical operational audience and senior leadership.
  • Manage and prioritize multiple projects and tasks simultaneously in a dynamic, fast-paced work environment.

  • Must be a U.S. Citizen
  • Active Top Secret clearance and SCI eligibility.
  • BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related field.
  • More than 10 years of relevant work experience, with significant experience leading data science or analytics teams.
  • Demonstrated experience capturing, implementing, and managing data science requirements for senior Military, Federal Government, or Intelligence Community stakeholders.
  • Proven expertise in applying advanced AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to solve complex problems.
  • Highly proficient in Python and/or R for data engineering, automation, and model development.
  • Experience with data engineering concepts, including building and maintaining data pipelines (ETL/ELT), data warehousing, and data lake/lakehouse architectures.
  • Familiarity with data visualization and analytics platforms such as Power BI, Tableau, Qlik, or Palantir Foundry / Maven Smart System (MSS).
  • Experience with data storage and processing tools (e.g., Apache Spark, Databricks, Hadoop) and databases (e.g., TSQL, MySQL, Oracle, PostgreSQL).
  • Excellent written and verbal communication skills, with experience briefing senior leaders.
  • Must be available for occasional travel to domestic and international locations.