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Remote Behavioral Data Science Jobs in Colorado (NOW HIRING)

Zayo

Data Analytics Engineer

Denver, CO · On-site +1

$77/hr

There may be an option for hybrid or remote. All candidates must be based in the United States. We ... Bachelor's or Master's degree in Computer Science, Data Science, Information Systems ...

InnovAge

Revenue Operations Data Analyst

Denver, CO · On-site +1

$103K - $130K/yr

Analyze plan effectiveness and recommend improvements to drive desired behaviors * Model and ... Preferred majors: hard sciences, mathematics, engineering, data science, finance, business ...

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

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 ...

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

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 ...

Comcast

Executive Director, Data Platforms

Englewood, CO · On-site +1

$218K - $327K/yr

... 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 ...

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.

DigitalOcean

Senior Security Analyst I

Denver, CO · Remote

$140K - $176K/yr

... data science tools and techniques (e.g., Pandas) to spot anomalies and trace behaviors across ... This is a remote role JR: 2026-8010 #LI-Remote Why You'll Like Working for DigitalOcean * We ...

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Remote Behavioral Data Science information

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

To thrive as a Remote Behavioral Data Scientist, you need expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.
What are the most commonly searched types of Behavioral Data Science jobs in Colorado? The most popular types of Behavioral Data Science jobs in Colorado are:
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What job categories do people searching Remote Behavioral Data Science jobs in Colorado look for? The top searched job categories for Remote Behavioral Data Science jobs in Colorado are:
What cities in Colorado are hiring for Remote Behavioral Data Science jobs? Cities in Colorado with the most Remote Behavioral Data Science job openings:
Remote Behavioral Data Science jobs near you
Senior Security Analyst I

Senior Security Analyst I

DigitalOcean

Denver, CO • Remote

$140K - $176K/yr

Other

Posted 3 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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