ZipRecruiter

Log In

1

Science Engineer Jobs in Missouri (NOW HIRING)

Jobtailor

Data Science Engineer

California, MO · On-site

$120 - $170/hr

Data Science * Forecasting Process * Operational Problems * Data Structures * Analytic Applications * Business Insights * Data Engineering * Customer Cancellation Forecasting * Cohort Retention Tools ...

Deloitte

Senior AI Engineer - SFL Scientific

Saint Louis, MO · On-site

$101K - $139K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

next page

Showing results 1-20

All JobsScience Engineer JobsScience Engineer Jobs in Missouri

Science Engineer information

What is a science engineer?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What are the key skills and qualifications needed to thrive as a science engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What are some common challenges science engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are popular job titles related to Science Engineer jobs in Missouri?

For Science Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Science Engineer jobs in Missouri look for?

The top searched job categories for Science Engineer jobs in Missouri are:

What cities in Missouri are hiring for Science Engineer jobs?

Cities in Missouri with the most Science Engineer job openings:

Science Engineer jobs near you
Infographic showing various Science Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Data Science Engineer

Jobtailor

California, MO • On-site

$120 - $170/hr

Other

Posted 4 days ago

Job description

  • A Finance Data Scientist within Adobe’s Creativity & Productivity FP&A (Financial Planning and Analysis) team partners with finance and business stakeholders to understand, and then develop and enhance the existing or proposed forecasting process, optimizing and refining by leveraging automation and AI/ML techniques.
  • Drive data science modeling initiatives for forecasting and analysis
  • Automate, enhance, and maintain analytic applications and data structures used for modeling and forecasting
  • Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously “Create the Future” and further enhance forecast algorithms
  • Work with the PowerBI team to deliver requirements to create and maintain dashboards tracking key indicators
  • Partner with Finance and other teams to build data science models to solve a wide breadth of business challenges
  • Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities
  • Analyze data to identify or resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes.
  • Prepare analytical reports to document financial models and data processes.
  • Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes
  • Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts
  • Be a change agent, ensuring users adopt new and innovative technologies.
Requirements
  • Strong proficiency in SQL and Python; R is a plus.
  • Experience in data cloud platform (eg. Databricks, AWS, Snowflake)
  • Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis
  • Proficiency with data visualization tools (e.g. Power BI, Tableau)
  • Experience exploring large amounts of information, extracting insights, and achieving real-world results
  • Ability to dig in, understand the data, and to use creative thinking and problem-solving skills are musts
  • History of deriving and communicating actionable insights from analysis projects to product and/or business leaders
  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering preferred, or related work experience
  • Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus
  • Understanding of Version Control frameworks such as GitHub is a plus
  • Knowledge of customer cancellation forecasting and cohort retention is a plus.
Core Competencies

Proficient in SQL and Python for data analysis and modeling, with a strong understanding of machine learning techniques for time-series analysis. Experienced in automating and enhancing forecasting processes while collaborating with finance and business stakeholders to derive actionable insights.

Highest-signal resume keywords
  • SQL Proficiency
  • Python Proficiency
  • Machine Learning Techniques
  • Data Visualization Tools
  • Data Cloud Platform Experience
ATS Optimization KeywordsHard Skills
  • SQL
  • Python
  • Machine Learning
  • Data Analysis
  • Forecasting
  • Data Modeling
  • Statistical Analysis
  • Data Automation
  • Cohort Analysis
  • Time-Series Analysis
Soft Skills
  • Creative Thinking
  • Problem-Solving
  • Intellectual Curiosity
  • Communication Skills
  • Collaboration
Industry Keywords
  • Financial Planning and Analysis
  • Data Science
  • Forecasting Process
  • Operational Problems
  • Data Structures
  • Analytic Applications
  • Business Insights
  • Data Engineering
  • Customer Cancellation Forecasting
  • Cohort Retention
Tools & Technologies
  • Power BI
  • Tableau
  • Databricks
  • AWS
  • Snowflake
  • Microsoft Office
  • Power Query
  • M/DAX
  • GitHub
#J-18808-Ljbffr

Apply