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Permanent Computer Science Statistics Jobs in Wyoming

Senior Pega Developer

Cheyenne, WY ยท On-site

$130K - $139K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. * Senior ... US Citizen or Permanent Resident with the ability to obtain USDA Public Trust Clearance. Preferred ...

Application Administrator

Cheyenne, WY ยท On-site

$71K - $84K/yr

Compiles and analyzes various reports and user statistics; creates custom queries and reports as ... Bachelor's Degree in Computer Science or related field; OR four (4) year's experience in database ...

New

Simulator Engineer

Kemmerer, WY ยท On-site

$141K - $212K/yr

... Engineering, Computer Science, or related technical discipline OR relevant work experience ... Citizen, U.S. Legal Permanent Resident, or of a protected person status About Protingent:

$126K - $171K/yr

Bachelor's degree in Computer Science, Information Technology, Advanced Analytics, Statistics, or related field required. * At least 8 years of experience in technical design, development, and ...

Showing results 41-60

Permanent Computer Science Statistics information

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in data analysis, machine learning, and algorithm development. It provides foundational skills for interpreting data, designing experiments, and making data-driven decisions, which are essential in many computer science roles.

What is the difference between Permanent Computer Science Statistics vs Permanent Data Analyst?

AspectPermanent Computer Science StatisticsPermanent Data Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; often certifications in data analysis or programmingBachelor's in Statistics, Data Science, or related fields; certifications in data tools are common
Work EnvironmentTech companies, research institutions, or finance; focus on algorithms and statistical modelsBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, academia for developing models and algorithmsUsed across industries for analyzing data to inform business decisions

Permanent Computer Science Statistics professionals focus on developing algorithms and statistical models, often in tech or research settings, while Permanent Data Analysts interpret data to support business strategies across various industries. Both roles require strong analytical skills and relevant certifications, but their daily tasks and work environments differ.

What job should I do if I like statistics?

A career as a data analyst or statistician involves applying statistical methods to interpret data and support decision-making. These roles typically require proficiency in statistical software like R or Python and may require a bachelor's or master's degree in statistics, mathematics, or a related field. They often involve working in industries such as finance, healthcare, or technology, with opportunities for certification and continuous learning.

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

Is computer science dead due to AI?

Computer science professionals, including those in statistics, continue to find demand as AI advances, requiring skills in algorithms, data analysis, and programming. AI creates new opportunities for innovation and problem-solving, making computer science a vital field rather than obsolete.
What cities in Wyoming are hiring for Permanent Computer Science Statistics jobs? Cities in Wyoming with the most Permanent Computer Science Statistics job openings:
Machine Learning Engineer

Machine Learning Engineer

Western EcoSystems Technology, Inc.

Cheyenne, WY โ€ข On-site

$90K - $110K/yr

Other

Posted 19 days ago


Job description

Job Title
Machine Learning Engineer
Salary
$90,000 - $110,000
Job Classification
Salaried
Location
Cheyenne, WY 82001 US
Fort Collins, CO 80527 US
Laramie, WY 82072 US (Primary)
US
Job Type
Regular
# of Hires Needed
1
Application Deadline
Job Description
Western EcoSystems Technology, Inc. (WEST) is a dynamic medium-size consulting firm with offices across the United States and Canada. We are looking for a full-time Machine Learning Engineer to join our team. WEST has a permanent core of professionals with broad experience in applied ecological studies, the sophisticated analysis of natural resource data, and impact assessment and permitting. Since its founding in 1990, the WEST team has shaped our work through our core values and key principles that our work matters to our clients, communities, and the environment. Join WEST and discover a company of passionate, committed, and highly motivated individuals.
The Machine Learning team specializes in wildlife monitoring solutions using cutting-edge technology. We develop end-to-end systems for processing and analyzing ecological data, including camera trap imagery, drone footage, and audio data. We focus on delivering practical, deployable solutions that support real-world conservation and monitoring efforts.
Example projects include:
  • Species classification and individual re-identification of wildlife from camera trap images
  • Habitat and vegetation classification from drone footage
  • Animal tracking and behavior analysis from video collar footage

Please click here to see what benefits WEST offers!
The minimum base salary for this position is $90,000 and the maximum is $110,000, plus additional annual profit-sharing bonus potential. Salary may vary based on education, knowledge, and experience.
Location is flexible, although a location in the Fort Collins, CO, Laramie, WY, or Cheyenne, WY office is preferred
Job Description
We are seeking a talented and experienced Machine Learning Engineer to join our team. In this role, you will collaborate with Machine Learning Data Scientists to train machine learning models and create robust, scalable pipelines and software tools that can be used by internal teams and external clients. Projects often involve deploying models across a variety of environments, including cloud, on-premise, and field-based systems (e.g., drones or edge devices). This role is ideal for someone who enjoys building complete solutions, working with real-world data, and solving engineering challenges in applied computer vision.
Key Responsibilities:
Machine Learning Systems & Engineering
  • Design and implement end-to-end ML pipelines, including data ingestion, preprocessing, model inference, and results delivery
  • Develop reusable software tools and workflows that support internal teams and client-facing deliverables
  • Build systems that integrate model predictions into downstream analysis, reporting, or visualization pipelines

Deployment & Productionization
  • Deploy machine learning models across diverse environments, including cloud, on-premise, and edge/field systems
  • Optimize models and pipelines for performance, reliability, and resource constraints (e.g., memory, compute, bandwidth)
  • Ensure systems are maintainable and reproducible, including versioning of data, models, and code

Data & Model Development
  • Conduct data preprocessing, QA/QC, and dataset management for ML workflows
  • Develop and evaluate computer vision models, with attention to real-world challenges such as noisy labels, class imbalance, and domain shift
  • Iterate on model and pipeline performance based on testing and deployment feedback

Collaboration & Communication
  • Collaborate with data scientists, engineers, and domain experts (e.g., ecologists, remote sensing specialists) to design effective solutions
  • Communicate technical concepts, system limitations, and results to both technical and non-technical stakeholders
  • Contribute to technical reports, project proposals, and client deliverables

Operational Ownership
  • Support debugging and monitoring of deployed systems, including identifying issues in data, models, or infrastructure
  • Contribute to team best practices around code quality, testing, and reproducibility

This is a general description of the functions for this position and is not inclusive of the duties which may be associated with this position.
Job Requirements
Qualifications:
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, or Bachelor's with relevant work experience.
  • Proficient in Python and PyTorch, experience in C# preferred
  • Experience deploying ML models in resource-constrained or field environments (e.g., edge devices, drones, embedded systems)
  • Experience building user-facing tools, APIs, or automated workflows for ML systems
  • Experience with remote sensing, drone imagery, or ecological/biological datasets
  • Familiarity with cloud platforms, distributed processing, or large-scale data pipelines, especially Azure ML
  • Experience working on interdisciplinary teams involving scientists or domain experts
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Excellent interpersonal and human relations skills.

After an offer of employment is made, the candidate must successfully pass a pre-employment background check, drug screening, and a DMV records check that meets WEST's minimum criteria to operate a motor vehicle on behalf of the company. A valid driver's license will be required.
WEST provides equal employment opportunities to all individuals regardless of their race, color, religion, gender identity or expression, age, sex, sexual orientation, national origin, disability status, genetics, and any protected veteran status, and any other characteristic protected by federal, state or local law. Further, WEST takes affirmative action to ensure that all individuals are treated fairly, and without discrimination, for recruitment, selection, advancement and every other term and privilege associated with employment.
Education
Bachelor's Degree
Salary Grade
Exemption Type
Exempt