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Remote Behavioral Data Science Jobs in Colorado (NOW HIRING)

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 ...

Senior Data Platform Engineer

Littleton, CO ยท 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 ...

Jr. Data Scientist, to 120k - FS Poly

Aurora, CO ยท 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.

Senior AI Product Manager

Denver, CO ยท 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 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 ...

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 ...

This position is remote and must be a US citizen due to the projects we work on. Why Tetra Tech: At ... with Science to solve the world's most complex challenges. Our industry-leading experts in ...

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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:
What are popular job titles related to Remote Behavioral Data Science jobs in Colorado? For Remote Behavioral Data Science jobs in Colorado, the most frequently searched job titles are:
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:
Senior Data Platform Engineer

Senior Data Platform Engineer

UDR

Highlands Ranch, CO โ€ข Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Job description

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team.

**This is a remote based position.**

GENERAL SUMMARY OF DUTIES:ย  Design, build, and maintain UDRโ€™s enterprise data platform in Snowflake, implementing scalable and reliable data solutions that serve operational, analytical, and AI use cases. Develop data pipelines using medallion architecture, create reusable data products, and implement best practices for data transformation, quality, and governance. Partner with cross-functional teams including business stakeholders, IT leadership, and the Snowflake Administrator to deliver data solutions that drive business value and enable self-service analytics across the organization.

SUPERVISION RECEIVED:ย  Reports to the Director โ€“ IT Solution Deliveryย ย 

SUPERVISION EXERCISED:ย  N/A

ESSENTIAL FUNCTIONS:ย 

1. Design and implement UDRโ€™s enterprise data platform in Snowflake, replacing on-premises SQL systems and decentralized data silos with a unified, governed data environment using medallion architecture (Bronze/Silver/Gold layers).

2. Build and maintain scalable data pipelines from source systems through transformation to analytical and operational targets, ensuring data quality, consistency, and reusability.

3. Develop well-defined, tested, documented, and code-reviewed datasets optimized for diverse business use cases including operational queries, business intelligence, self-service analytics, and AI/ML applications.

4. Create dimensional models, data architectures, and semantic layers using Snowflake Cortex to support analytics initiatives and enable consistent business logic and metrics across applications.

5. Design and maintain integration patterns between Snowflake and Power BI, optimizing for DirectQuery and Import modes to balance performance and user experience.

6. Implement data orchestration workflows using Apache Airflow to automate ingestion, transformation, scheduling, and quality validation processes.

7. Establish data quality testing frameworks and governance controls including validation rules, error-handling, monitoring, and data lineage documentation to maintain data integrity and support self-service analytics.

8. Prepare feature stores and training datasets for AI and machine learning applications, ensuring data is structured and documented for model development.

9. Troubleshoot and resolve production issues related to data platform performance, pipeline reliability, and data quality.

10. Integrate data from vendor systems and external sources using Snowflake ingestion methods including APIs, file-based loads, and data sharing.

11. Partner with the Snowflake Administrator on platform optimization, security, resource management, and cost efficiency, and collaborate with business stakeholders to translate analytics requirements into scalable data solutions.

12. Contribute to engineering design sessions, code reviews, and the development of best practices for platform configuration, observability, testing, and operational readiness.

13. Evaluate and adopt new technologies and tools that improve data platform capabilities and operational efficiency.

14. Perform other duties as assigned or as necessary.

EDUCATION AND EXPERIENCE:

1. Bachelorโ€™s degree in computer science, data science, data engineering, software engineering, information systems, or related field; or equivalent combination of education and experience required.

2. Minimum of five to seven years of experience in data engineering, analytics engineering, or similar role with demonstrated experience building enterprise data platforms.

3. Snowflake experience required. SnowPro Core Certification preferred.

4. Proven experience implementing data warehouses or data lakes in cloud environments.

5. Track record of building data pipelines that serve multiple consumption patterns including analytics, operations, and AI/ML applications.

6. Experience with dimensional modeling, ETL/ELT development, and data transformation at scale.

7. Experience with Snowflake Cortex for semantic layer development preferred.

8. Proficiency integrating Snowflake with Power BI including DirectQuery and Import mode optimization preferred.

9. Experience building feature stores or preparing datasets for machine learning applications preferred.

10. Knowledge of CI/CD practices for data pipelines and automated testing frameworks preferred.

11. Experience with cloud platforms (AWS, Azure, or GCP) for data storage and processing preferred.

Benefits Offered:ย 

  • Medical, Dental, Vision Plans
  • Medical Flexible Spending Account
  • Dependent Care Spending Account
  • Lifestyle Spending Account
  • Supplemental Term Life Insurance
  • Critical Illness Plan
  • Supplemental Short-Term Disability Insurance / AD&D Insurance
  • Voluntary Long Term Care Insurance
  • 401(k) Plan with company match

Salary Range:
โ€ข $130,000.00/yr. โ€“ $170,000.00/yr., depends on experience

ย Bonus Potential:
โ€ข Eligible for 10% annual bonus potential, based on personal and company performanceย 

Anticipated Close Date: June 30, 2026ย 

UDR is proud to provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

UDR is committed to providing and maintaining a diverse workforce and an inclusive work environment with equitable access and opportunity for associates to participate, grow, and reach their full potential.