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Contractual Chemical Engineering Data Science Jobs in Colorado

Programmers.io

Data Scientist in AI

Denver, CO · On-site

We need a Data Scientist with strong presentation skills and deep analytics expertise who can ... Strong Python with ML/AI development and prompt engineering * Data visualization and storytelling

Cacheflow

Manager, Data Science

Denver, CO · On-site

$158 - $185/hr

Bachelor's degree in computer science, data analytics, computer engineering, information systems required * Experience hiring, leading, developing, and retaining talent * Demonstrated analytical ...

Ibotta, Inc.

Manager, Data Science

Denver, CO · On-site

$158 - $185/hr

Bachelor's degree in computer science, data analytics, computer engineering, information systems required * Experience hiring, leading, developing, and retaining talent * Demonstrated analytical ...

Emerson Group

Data Science Engineering Intern

Boulder, CO · On-site

$24 - $28/hr

Apply data science methodologies, including statistical modeling, forecasting, and visualization ... chemical and advanced factory automation operate more sustainably while improving productivity ...

Emerson

Data Science Engineering Intern

Boulder, CO · On-site

$24 - $28/hr

Apply data science methodologies, including statistical modeling, forecasting, and visualization ... chemical and advanced factory automation operate more sustainably while improving productivity ...

Emerson

Data Science Engineering Intern

Boulder, CO · On-site

$24 - $28/hr

Apply data science methodologies, including statistical modeling, forecasting, and visualization ... chemical and advanced factory automation operate more sustainably while improving productivity ...

New

Emerson

$24 - $28/hr

Apply data science methodologies, including statistical modeling, forecasting, and visualization ... Pursuing a bachelor's degree in engineering * Zero (0) years of related experience * Ability to ...

New

Emerson

Data Science Engineering Intern

Boulder, CO

$24 - $28/hr

Apply data science methodologies, including statistical modeling, forecasting, and visualization ... chemical and advanced factory automation operate more sustainably while improving productivity ...

New

Bet365

Data Science Team Lead/Manager

Denver, CO

This is not a pure people-management role. • Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of ...

Gusto, Inc.

Growth Data Science Leader

Denver, CO · On-site +1

$185K - $217K/yr

You'll both manage a team of data scientists and analysts as well as personally get in-the-weeds to work closely with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights ...

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Showing results 21-40

All JobsContractual Chemical Engineering Data Science JobsContractual Chemical Engineering Data Science Jobs in Colorado

Contractual Chemical Engineering Data Science information

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

AspectContractual Chemical Engineering Data ScienceContractual Chemical Engineering
CredentialsEngineering degree, data science certificationsEngineering degree, chemical engineering certifications
Work EnvironmentData analysis, modeling, software toolsProcess design, plant operations, safety protocols
Industry UsageData-driven decision making in chemical processesProcess optimization, manufacturing, plant management

Contractual Chemical Engineering Data Science focuses on applying data analytics and modeling to chemical engineering problems, often involving software and data tools. In contrast, Contractual Chemical Engineering emphasizes process design, plant operations, and safety. Both roles require engineering credentials but differ in daily tasks and industry focus.

Can you be a data scientist with a chemical engineering degree?

Yes, a chemical engineering degree provides a strong foundation in problem-solving and data analysis, which are essential skills for a data scientist. Additional knowledge of programming languages like Python or R and experience with data visualization tools can enhance qualifications for data science roles.

What cities in Colorado are hiring for Contractual Chemical Engineering Data Science jobs?

Cities in Colorado with the most Contractual Chemical Engineering Data Science job openings:

Contractual Chemical Engineering Data Science jobs near you

Data Scientist

Apogee Engineering, LLC

Colorado Springs, CO • On-site

$155K - $190K/yr

Full-time

Re-posted 29 days ago

Job description

Overview
Apogee is seeking a Data Scientist (DS) to support the U.S. Army Space and Missile Defense Command (USASMDC). This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights in support of space and missile defense priorities.
The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate workflows and enrich mission data. Responsibilities include data exploration and feature engineering; building and evaluating statistical/ML approaches (as appropriate); developing scripts, tools, and dashboards to support analysis and reporting; and communicating results through clear documentation and briefings. The DS also supports data governance and quality efforts, ensures methods are transparent and repeatable, and transitions solutions into operational use in coordination with Government leads and mission users.
This is a full-time opportunity at Petterson Space Force Base (PSFB), CO.
****Contingent Upon Contract Award****
Responsibilities
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or Jupyter Labs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, query techniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

Qualifications
Minimum Experience:
Citizenship: Must be a US citizen
Clearance: Must have and be able to maintain a Top Secret (TS) with Sensitive Compartmented Information (SCI) adjudication
Education: Bachelors Degree
Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments.
Additional Experience:
  • Expert Python skills; heavy use of Jupyter Notebooks/Labs and common IDEs (e.g., VS Code/Spyder).
  • Proven ability to build and sustain automated data workflows (ingest/normalize/integrate/enrich/evaluate) using algorithms, queries, and models.
  • Strong SDLC skills: debugging, refactoring legacy code, and maintaining secure/compatible codebases.
  • Code quality discipline: clear documentation/block comments and adherence to PEP-8 (or equivalent style enforcement).
  • Working knowledge of data architecture and ability to collaborate across multi-discipline teams to connect data sources to mission problems.
  • Ability to communicate findings and recommendations to stakeholders.
  • Experience applying/evaluating ML/NLP, predictive modeling, and statistical methods (hypothesis testing).
  • NSA NETA1400 (Technology Fundamentals for Analysis) completion, or Government-approved equivalent.

Preferred Qualifications:
Additional Experience:
  • NSA courses: NETA2402/NETA2108 and/or RPTG2238/2235/3225/3222 (or equivalent).
  • Certifications: DASCA (ABDE/ABDA/SDS), Google Data Analytics, and/or IBM Data Science.
  • Experience transitioning prototypes into reusable, analyst-ready tools/pipelines and tracking emerging big-data/analytics tech.

Additional Information
Location: Petterson Space Force Base (PSFB), CO
On-site
Travel: 10%
Pay Range
USD $155,000.00 - USD $190,000.00 /Yr.

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