ZipRecruiter

Log In

1

Temporary Data Scientist Machine Learning Jobs in Colorado

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent systems that power ...

Cymertek

Data Scientist

Aurora, CO · On-site

Data Scientist LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

GRVTY

Data Scientist 3

Colorado Springs, CO

Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

AArete

Data Scientist

Denver, CO · On-site

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

GRVTY

Data Scientist 3

Colorado Springs, CO

$155K - $185K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

Emerson

Data Scientist

Boulder, CO · On-site

$98K - $140K/yr

Expertise in statistics/machine learning (prediction, hypothesis testing, simulation). Proficiency ... Individuals with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B ...

New

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

They are seeking a talented Data Scientist to join their team and play a pivotal role in analyzing ... machine learning techniques • Strong statistical analysis skills • Knowledge of data ...

AArete

Senior Data Scientist

Denver, CO · On-site

Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Strong AI/ML background with practical ...

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great ...

next page

Showing results 1-20

All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Colorado

Temporary Data Scientist Machine Learning information

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a Temporary Data Scientist specializing in Machine Learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a Temporary Data Scientist Machine Learning, and why are they important?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary Data Scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Colorado? The most popular types of Data Scientist Machine Learning jobs in Colorado are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Colorado? For Temporary Data Scientist Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Colorado look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Temporary Data Scientist Machine Learning jobs? Cities in Colorado with the most Temporary Data Scientist Machine Learning job openings:
Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Data Scientist AI/ML

Data Scientist AI/ML

BillGO, Inc.

Fort Collins, CO

$102K - $146K/yr

Full-time

Medical, Retirement

Re-posted yesterday

Job description

We’re looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You’ll work on developing intelligent systems that power risk modeling, fraud prevention, customer insights and targeting, and payment optimization. Your models will have a direct impact on financial decisions, operational efficiency, and customer trust across our products. 

Why This Role Matters

This role matters because it sits at the intersection of advanced AI and real-world financial decision-making, where the impact of data science is immediate, measurable, and high-stakes. By building intelligent models for risk, fraud detection, and payment optimization, the Data Scientist directly helps protect customers, improve transaction accuracy, and drive business growth. In a fintech environment where trust, speed, and compliance are critical, this role ensures that data is not just analyzed but transformed into actionable systems that power secure and efficient financial experiences. Beyond technical execution, the position also shapes innovation by integrating cutting-edge AI, like generative models and LLMs, into core products, enabling smarter operations and more personalized customer interactions.

What You’ll Do

  • AI-Driven Insights: Develop and deploy advanced machine learning models to optimize customer targeting, payment monitoring and growth and operational efficiency opportunities. 
  • Predictive Modeling: Build forecasting models to improve transaction accuracy, detect anomalies, and assess financial risk. 
  • Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance. 
  • AI Product Integration: Collaborate with Product to integrate AI solutions into production systems for real-time financial decisioning. 
  • Experimentation: Lead A/B tests and model performance evaluations to validate model effectiveness and regulatory compliance. 
  • Communication: Translate technical findings into actionable insights for business leaders and compliance teams. 
  • Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy. 

What You Bring

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field. 
  • 3+ years of experience in a data science or AI-focused role within fintech, banking, or payments. 
  • Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. 
  • Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI. 
  • Familiarity with financial data structures, regulatory standards (e.g., PCI-DSS, GDPR), and model governance. 
  • Experience with cloud platforms such as Snowflake for ML deployment. 

Preferred Qualifications 

  • Experience in fraud analytics, risk scoring, or payment decision models. 
  • Understanding of MLOps and continuous model monitoring in regulated environments. 
  • Familiarity with financial transaction data, open banking APIs, or real-time payments systems. 
  • Experience developing LLM-powered assistants or AI copilots for financial operations or support. 
  • Strong data storytelling and visualization skills (Tableau preferred). 

Compensation

We offer a competitive compensation package, including:

  • Base salary ($102,000-$146,900)
  • Performance incentive
  • Equity opportunities
  • Comprehensive health, retirement, and lifestyle benefits

This role is about more than compensation, it’s about the opportunity to transform how small businesses thrive in the digital economy.

Apply