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Remote Cfa Data Science Jobs in Colorado (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246521 Location: Aurora,CO,US Share job via: Share Data Engineer ... Ability to query, clean, organize, and store DoW and IC data using common data science languages ...

stanleyreid

Jr. Data Scientist, to 120k - FS Poly

Aurora, CO · On-site +1

$50K - $120K/yr

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... Data Scientist to provide technical expertise in sustaining mission-critical software and systems.

Five and Fly

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

Remote Description We are looking for an Analytics Engineering Intern who is eager to learn and ... Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

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All JobsCfa Data Science JobsRemote Cfa Data Science JobsRemote Cfa Data Science Jobs in Colorado

Remote Cfa Data Science information

What is a remote CFA Data Science?

Remote CFA Data Science jobs are positions that combine expertise in data science with knowledge of finance, specifically leveraging the Chartered Financial Analyst (CFA) credential. Professionals in these roles analyze financial data, build predictive models, and provide insights to guide investment decisions—all while working remotely. These jobs typically require strong quantitative skills, proficiency in programming languages like Python or R, and a deep understanding of financial markets. The remote aspect allows for flexible work arrangements, enabling professionals to contribute from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote CFA Data Science professional?

To excel as a Remote CFA Data Science professional, you typically need a solid background in quantitative analysis, financial modeling, and data science, with a CFA designation and a degree in finance, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and financial analytics platforms, along with proficiency in data visualization software, is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for effective collaboration and independent remote work. These competencies ensure accurate financial insights, efficient data-driven decision-making, and effective teamwork across distributed environments.

How do remote CFA Data Science professionals typically collaborate with cross-functional teams despite working remotely?

Remote CFA Data Science professionals often collaborate with investment analysts, portfolio managers, and IT teams through digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and collaborative coding environments help streamline workflow and ensure everyone stays aligned on project goals. While time zone differences or limited face-to-face interaction can be challenging, clear documentation and proactive communication are key strategies to maintain effective teamwork.

What is the difference between Remote Cfa Data Science vs Remote Cfa Investment Analyst?

AspectRemote Cfa Data ScienceRemote Cfa Investment Analyst
CredentialsCFA Charter, Data Science skillsCFA Charter, Investment analysis skills
Work EnvironmentData analysis, modeling, programmingFinancial research, portfolio management
Industry UsageFinance, tech, data-driven firmsAsset management, investment firms

Remote Cfa Data Science focuses on applying data analysis and modeling techniques within finance, often requiring programming skills alongside CFA credentials. In contrast, Remote Cfa Investment Analysts primarily conduct financial research and portfolio analysis. Both roles are CFA-certified and operate in finance but differ in daily tasks and skill sets.

What are popular job titles related to Remote Cfa Data Science jobs in Colorado?

For Remote Cfa Data Science jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Cfa Data Science jobs in Colorado look for?

The top searched job categories for Remote Cfa Data Science jobs in Colorado are:

What cities in Colorado are hiring for Remote Cfa Data Science jobs?

Cities in Colorado with the most Remote Cfa Data Science job openings:

Remote Cfa Data Science jobs near you
Infographic showing various Remote Cfa Data Science job openings in Colorado as of June 2026, with employment types broken down into 67% Full Time, 25% Part Time, and 8% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Staff Computer Vision AI/ML Engineer

Vets Hired

Aurora, CO • Remote

Full-time

Posted 6 days ago

Key responsibilities

  • Lead the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications.

  • Analyze and preprocess large remote sensing datasets, and train, optimize, and deploy deep-learning computer vision models.

  • Guide and mentor junior engineers, researchers, and software developers, and collaborate with program management to define project scope, schedules, and milestones.

Job description

Job Summary

The Staff Computer Vision AI/ML Engineer leads the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications. The role focuses on Automatic Target Recognition (ATR), multimodal data fusion, deep learning, image processing, and cloud-based deployment. This position also provides technical leadership by guiding researchers and software developers and helping mature AI/ML capabilities from prototype through operational deployment.

Key Responsibilities
  • Lead a team of developers and researchers implementing AI/ML algorithms for computer vision and remote sensing.
  • Analyze and preprocess large remote sensing datasets.
  • Research supervised and unsupervised Automatic Target Recognition (ATR) solutions.
  • Research multimodal data fusion for ATR across diverse data-collection scenarios.
  • Train, optimize, and deploy deep-learning computer vision models.
  • Apply AI/ML techniques to solve computer vision problems across multiple domains.
  • Evaluate emerging research and publications related to AI/ML and computer vision.
  • Translate complex technical concepts into understandable information for government customers.
  • Apply AI/ML research to defense and commercial applications.
  • Guide and mentor junior engineers, researchers, and software developers.
  • Collaborate with program management to define project scope, schedules, and milestones.
  • Select appropriate AI/ML approaches and iterate or pivot strategies to improve performance.
  • Develop technical documentation, code documentation, capability descriptions, and user guides.
  • Support the development and growth of AI/ML technical capabilities and strategy.
Required Qualifications
  • Active TS/SCI security clearance.
  • Bachelor's degree in Data Science, AI/ML, Computer Science, or a related field.
  • 10+ years of professional experience, preferably in software development or data science.
  • 5+ years of experience developing and training AI/ML models.
  • Experience leading interdisciplinary teams of researchers and software developers.
  • Experience working with program managers to define project scope, schedules, and milestones.
  • Experience selecting, evaluating, and improving AI/ML approaches.
  • Strong Python programming experience.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, or OpenCV.
  • Experience developing convolutional or transformer-based computer vision models.
  • Strong technical communication and documentation skills.
  • Ability to prepare and present technical reports to engineering teams and customers.
Desired Qualifications
  • MS or PhD in Machine Learning, Computer Science, Computer Vision, Mathematics, or a related field.
  • Experience with Self-Supervised Learning (SSL), DINO, knowledge distillation, or BYOL.
  • Experience with image segmentation, super resolution, image denoising, image restoration, and Multi-INT fusion.
  • Experience with Graph Convolutional Networks (GCNs).
  • Experience with SAR, EO, or OPIR image-processing chains.
  • Experience with overhead imagery datasets such as xView, SpaceNet, MSTAR, HRSID, DOTA, and similar datasets.
  • Familiarity with AWS services such as EC2, S3, and Lambda.
  • Experience with code, data, and model version-control processes.
  • Experience with Linux.
  • Experience with tracking, fusion, and pattern-of-life algorithms.
  • Experience with application deployment, virtualization, and containerization.
  • Experience supporting proposal development and writing.
  • Active TS/SCI clearance with Polygraph.