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Remote Data Science Tutor Jobs in Colorado (NOW HIRING)

Junior Data Scientist

Denver, CO · On-site +1

$70K - $85K/yr

Reporting directly to the Data Science Team Leader, you will collaborate with Machine Learning ... with remote and local team members. * Bachelor's or Master's degree in a quantitative field ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Product Data Scientist Department: Data Engineering Employment Type: Permanent - Full Time Location ... Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ...

... remote option.) Job Summary We are seeking an Executive Director, Data Platforms to lead the ... Partner with analytics, data science, and product teams to understand requirements and remove ...

... 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.

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Showing results 1-20

Remote Data Science Tutor information

What are the key skills and qualifications needed to thrive as a Remote Data Science Tutor, and why are they important?

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What are Remote Data Science Tutors?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

What are popular job titles related to Remote Data Science Tutor jobs in Colorado? For Remote Data Science Tutor jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Tutor jobs in Colorado look for? The top searched job categories for Remote Data Science Tutor jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Science Tutor jobs? Cities in Colorado with the most Remote Data Science Tutor job openings:
Infographic showing various Remote Data Science Tutor job openings in Colorado as of June 2026, with employment types broken down into 40% Full Time, 33% Part Time, and 27% Contract. Highlights an 100% Remote job distribution.
Senior Manager, Data Science & AI

Senior Manager, Data Science & AI

Crocs

Broomfield, CO • On-site, Remote

Other

Posted 14 days ago


Crocs rating

6.8

Company rating: 6.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

25th of 102 rated fashion retailers


Job description

Overview

Crocs is seeking a Senior Manager, Supply Chain Data Science & AI to lead the development and scaling of AIdriven capabilities across our global supply chain. This role will drive the evolution from reporting and dashboards to predictive, prescriptive, and AIassisted decisionmaking embedded into daytoday operations. This leader will own the endtoend Data science & AI portfolio for Supply Chain, translating business priorities into a structured pipeline of AI use cases, guiding those ideas from concept through deployment, and ensuring solutions deliver measurable operational impact. The role requires a strong combination of handson data science expertise, platform and product thinking, and enterprise leadership. The ideal candidate can move seamlessly between strategy and execution while building scalable, governed AI capability.

This position aligns to our Explorer Persona, designed for leaders who thrive in a flexible, remote environment while traveling to collaborate with global stakeholders and influence supply chain operations in-market.
What You'll Do
  • Build and scale enterprise AI and machine learning capabilities across supply chain functions including logistics, distribution, planning, sourcing, and labor.
  • Translate business problems into welldefined AI use cases, with clear success metrics and operational outcomes.
  • Define and operationalize standard frameworks for AI usecase intake, prioritization, development, deployment, and lifecycle management.
  • Lead the endtoend delivery of MLdriven solutions, from problem framing and model development through production deployment and adoption tracking.
  • Own and continuously evolve the Supply Chain Data Science & AI roadmap, aligned with business priorities, AOP commitments, and longterm capability goals.
  • Partner with data engineering, BI, and IT teams to embed AI solutions into dashboards, workflows, and operating processes, not standalone models.
  • Lead AI solution design using Microsoft technologies, including Azure AI, Azure Foundry, Copilot, and Power Platform.
  • Drive adoption of GenAI, copilots, and AI agents in a secure, scalable, and governed manner.
  • Evaluate, pilot, and integrate external AI tools and vendors, ensuring fit with enterprise data architecture, security standards, and longterm scalability.
  • Establish best practices for model development, deployment, monitoring, explainability, and reuse, enabling repeatable delivery.
  • Mentor and develop analysts and data scientists, raising overall AI maturity and execution rigor across the organization.
  • Communicate progress, risks, and outcomes to senior stakeholders using clear, businessfocused language.
What You'll Bring to the Table

Required

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Supply Chain, or a related field.
  • 8+ years of experience in data science, machine learning, or advanced analytics roles.
  • Proven experience deploying machine learning solutions in production environments, not just proofs of concept.
  • Strong programming skills in Python and proficiency in SQL.
  • Experience working with largescale data, modern ML frameworks, and enterprise analytics platforms.
  • Demonstrated application of analytics in supply chain, logistics, operations, or planning domains.
  • Strong understanding of the AI/ML lifecycle, including deployment, monitoring, governance, and ongoing optimization.
  • Ability to translate complex technical concepts into clear business outcomes and influence crossfunctional stakeholders.
  • Experience leading complex initiatives in a global, matrixed enterprise environment.

Nice to Have

  • Experience with the Microsoft AI ecosystem, including Azure AI, Azure Foundry, Copilot, and Power Platform.
  • Exposure to Generative AI, including LLMbased solutions, prompt design, or AIassisted workflows.
  • Familiarity with AI orchestration, agentbased systems, or humanintheloop automation.
  • Experience working with external AI vendors or SaaS AI platforms.
  • Knowledge of supply chain systems such as WMS, TMS, ERP, or planning tools.
  • Background in retail, manufacturing, or logisticsdriven environments.

The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.

Job Category: Corporate


What Crocs employees say

Pay

Benefits

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