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Remote Data Science Tutor Jobs in Colorado (NOW HIRING)

DigitalOcean

Senior Security Analyst I

Denver, CO · Remote

$140K - $176K/yr

Data-science/anomaly-detection background, prior work securing AI/ML or GPU infrastructure Compensation Range: * $140,800 - $176,000 *This is a remote role JR: 2026-8010 #LI-Remote

Workiva, Inc.

Senior AI Product Manager

Denver, CO · On-site +1

$130K - $171K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

USAA

Director-HR Data & Analytics

Colorado Springs, CO · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

Deloitte

GCP Manager

Denver, CO · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

GCP Manager

Colorado Springs, CO · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Osv_edf

Senior Scientist, Oceans Science

Boulder, CO · On-site +1

$94K - $129K/yr

Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC Duration: This is a ... Analyze, interpret, and communicate scientific data to state, federal, and international ...

Janus Henderson Investors

Data Engineer

Denver, CO · On-site +1

$169K/yr

Remote work permitted 2 days a week. Requirements: Bachelor's degree in Information Systems ... Computer Science, Electronics Engineering, or a related field, plus 7 years of progressively ...

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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:
Remote Data Science Tutor jobs near you
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 Security Analyst I

Senior Security Analyst I

DigitalOcean

Denver, CO • Remote

$140K - $176K/yr

Other

Posted 9 days ago

Job description

We are looking for a highly experienced and motivated Senior Security Analyst who is passionate about advanced security monitoring, detection engineering, threat hunting, and maturing Insider Threat programs. As a Senior Security Analyst at DigitalOcean reporting to the Manager, Security Defense Engineering, you will lead and own critical aspects of our insider threat program, shaping how we detect, respond to, and prevent internal risks and malicious threats. You will leverage deep expertise to engineer sophisticated detection capabilities, develop metrics to measure program effectiveness, and drive continuous improvement across alerting and response functions. You will collaborate closely with DFIR, Threat Intelligence, HR, Legal and other cross-functional teams to close detection gaps and elevate the organization's overall security posture. 

What you'll do
  • Own and evolve the insider threat program strategy, ensuring alignment with evolving threat landscapes, privacy considerations, and business priorities.
  • Advise on and implement preventative controls, balancing risk reduction against user friction for engineers.
  • Engineer and automate end-to-end insider-threat detection and investigation workflows across DigitalOcean's cloud and corporate environments.
  • Build, measure, and tune detection content and risk-scoring logic on UEBA / SIEM / DLP / UAM platforms; reduce false positives while keeping coverage sustainable.
  • Work closely with Infrastructure Security Engineers to identify log sources, integrate, and maintain data pipelines (e.g., log sources, forwarders, parsing, enrichment) feeding insider-risk analytics.
  • Develop a use-case library with corresponding playbooks and escalation procedures.
  • Investigate anomalous activity (e.g., access abuse, data exfiltration, IP/source-code theft, including novel risks in AI/GPU infrastructure) and provide technical evidence to support cases.
  • Partner with HR, Legal, and other necessary teams; communicate findings to technical and non-technical stakeholders.
  • Uphold investigation and analytic tradecraft standards including confidentiality, objectivity, lawfulness, and timeliness.
  • Manage and safeguard sensitive information, including case files, employee PII, and intelligence reports.
  • Perform data analytics in large datasets using modern data science tools and techniques (e.g., Pandas) to spot anomalies and trace behaviors across disparate datasets.
  • Perform intelligence analysis including pattern-of-life, time-series, clustering/grouping, visualization, and write clear-and-actionable reports. 
  • Stay ahead of the evolving threat landscape by tracking emerging insider risk TTPs, regulatory requirements, and best practices in privacy-preserving monitoring.
What you'll bring (qualifications)
  • 6+ years in detection & response, insider risk, or security engineering.
  • Hands-on experience with UEBA, SIEM, DLP, UAM/SOAR concepts and tooling.
  • Scripting proficiency (e.g., Python, Go, Bash) for detection content and automation.
  • Familiarity with macOS, Windows, Linux, Kubernetes, and cloud infrastructure.
  • Working knowledge of adversary tactics, data exfiltration techniques, and frameworks (MITRE ATT&CK, NIST).
  • Demonstrated discretion and ethical judgment handling sensitive employee data. 
Nice to have
  • Data-science/anomaly-detection background, prior work securing AI/ML or GPU infrastructure
Compensation Range: 
  • $140,800 - $176,000

*This is a remote role

JR: 2026-8010

#LI-Remote

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