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Data Science Visualization Jobs in Fort Collins, CO

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ ... Strong data storytelling and visualization skills (Tableau preferred). Compensation We offer a ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. * 3+ ... Strong data storytelling and visualization skills (Tableau preferred). Compensation We offer a ...

Data Scientist

Fort Collins, CO · On-site

$77K - $110K/yr

Data Visualization: Ability to create effective visualizations using tools like Tableau or Power BI ... Business Acumen: Understands key business drivers and aligns data science projects with ...

Data Scientist

Fort Collins, CO · On-site

$77K - $110K/yr

Data Visualization: Ability to create effective visualizations using tools like Tableau or Power BI ... Business Acumen: Understands key business drivers and aligns data science projects with ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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Showing results 1-20

Data Science Visualization information

See Fort Collins, CO salary details

$53.5K

$108.3K

$159.9K

How much do data science visualization jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data science visualization in Fort Collins, CO is $108,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $121,800.00 per year, depending on experience, location, and employer.

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

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

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Fort Collins, CO? For Data Science Visualization jobs in Fort Collins, CO, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Fort Collins, CO look for? The top searched job categories for Data Science Visualization jobs in Fort Collins, CO are:
Infographic showing various Data Science Visualization job openings in Fort Collins, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,340 per year, or $52.1 per hour.

AI Data Scientist

BillGO, Inc.

Fort Collins, CO • On-site

$102K - $146K/yr

Full-time

Posted 22 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).