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Contract Python Data Analysis Jobs in Fort Collins, CO

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

... Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. • ... Preferred Qualifications • Experience in fraud analytics, risk scoring, or payment decision ...

... Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. • ... Preferred Qualifications • Experience in fraud analytics, risk scoring, or payment decision ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Senior Product Quality Engineer

Longmont, CO · On-site

$87K - $118K/yr

Support senior engineers in debugging and data analysis using tools such as oscilloscopes and ... Proficiency in Python, C, or similar languages for test automation and debugging. * Experience with ...

Experience leveraging AI/Generative AI tools to improve engineering productivity, test automation, data analysis, and problem solving. Familiarity with Python-based AI/ML frameworks and responsible ...

Showing results 21-40

Contract Python Data Analysis information

See Fort Collins, CO salary details

$13

$58

$85

How much do contract python data analysis jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for contract python data analysis in Fort Collins, CO is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Fort Collins, CO? The most popular types of Python Data Analysis jobs in Fort Collins, CO are:
What are popular job titles related to Contract Python Data Analysis jobs in Fort Collins, CO? For Contract Python Data Analysis jobs in Fort Collins, CO, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Fort Collins, CO look for? The top searched job categories for Contract Python Data Analysis jobs in Fort Collins, CO are:
What cities near Fort Collins, CO are hiring for Contract Python Data Analysis jobs? Cities near Fort Collins, CO with the most Contract Python Data Analysis job openings:
Infographic showing various Contract Python Data Analysis job openings in Fort Collins, CO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,695 per year, or $58 per hour.

AI Data Scientist

BillGO, Inc.

Fort Collins, CO • On-site

$102K - $146K/yr

Full-time

Posted 26 days ago


Job description

About the Role
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.
Key Responsibilities
  • 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.

Required Qualifications
• 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).