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Home Based Python Machine Learning Jobs in Colorado

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. * Strong background in supervised/unsupervised learning, anomaly detection, NLP, and ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. * Strong background in supervised/unsupervised learning, anomaly detection, NLP, and ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

... based on rigorous error analysis -- through to production deployment and monitoring * Apply ... Strong Python and the modern ML stack (PyTorch or TensorFlow, scikit-learn), plus solid SQL.

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

... based on rigorous error analysis - through to production deployment and monitoring * Apply ... Strong Python and the modern ML stack (PyTorch or TensorFlow, scikit-learn), plus solid SQL.

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

... based on rigorous error analysis - through to production deployment and monitoring * Apply ... Strong Python and the modern ML stack (PyTorch or TensorFlow, scikit-learn), plus solid SQL.

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

Proficiency in Python , SQL, key ML libraries, and Spark * Mindset: A strong outcome-oriented ... The starting base salary for the selected candidate will be based on a variety of factors ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Colorado

Home Based Python Machine Learning information

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are the most commonly searched types of Python Machine Learning jobs in Colorado? The most popular types of Python Machine Learning jobs in Colorado are:
What are popular job titles related to Home Based Python Machine Learning jobs in Colorado? For Home Based Python Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Colorado look for? The top searched job categories for Home Based Python Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Home Based Python Machine Learning jobs? Cities in Colorado with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Infographic showing various Home Based Python Machine Learning job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Data Scientist AI/ML

Data Scientist AI/ML

BillGO, Inc.

Fort Collins, CO • On-site

$102K - $146K/yr

Full-time

Medical, Retirement

Re-posted 25 days ago

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