Position: Principal Data Scientist
Location: Greenwood Village, CO (Hybrid 4 days/week in office)
Work Hours: 8 5 MT (Mountain Time Zone Mandatory)
Duration: Long Term
Interview: Internal Video Screening----> Client Webex Interview ----> Final In person Interview with Client
Role Overview:
R Systems International is seeking a rare 'T-shaped' data professional who combines elite business communication with hands-on technical execution. This is not a purely research or build role you are a problem-solver who navigates corporate complexity and sub-optimal tech stacks to deliver executive-ready solutions. You will own end-to-end delivery: from interpreting ambiguous executive requests all the way to automating the final data pipeline. You will also serve as a technical coach and mentor for junior staff, elevating team output and accountability.
Key Responsibilities:
Executive Presence: Serve as an exceptional communicator with active listening skills, consistently delivering polished, high-impact results for senior leadership with zero cleanup required.
Executive-Level Delivery: Anticipate the 'so what?' behind data requests; put on an executive hat to ensure outputs are decision-ready and compelling.
Team Lead & Mentor: Serve as technical and professional coach for junior staff; envision and deliver team-wide solutions (new tools, new approaches to standard deliverables).
Rapid Structured Delivery: Own end-to-end analytics project lifecycles with urgency often within 48 72 hour windows.
Intelligent Automation: Build scalable workflows using LLMs and Python to ensure work is reusable and faster than manual processes; experience with orchestrators and schedulers is a strong plus.
Strategic Problem-Solving: Find creative workarounds for technical hurdles, permission blocks, and shifting priorities without losing momentum.
Required Qualifications:
Technical Proficiency
Fluent in SQL and Python (mid-level proficiency required; advanced is a plus).
Practical experience with LLMs and prompt engineering; ability to articulate risks and limitations and build creative solutions beyond standard use cases.
Strong foundation in data analysis, statistical modeling, and pipeline automation.
Business Acumen & Domain Expertise
High-polish presentation skills; composed and confident in front of executives.
Experience with Sales, Retention, and/or Call Center teams; ability to empathize with agents and leaders, anticipate needs, and understand pain points.
History of setting own milestones, meeting deadlines, and taking 100% ownership of code and results.
High tolerance for rapid pivoting and organizational complexity; views sub-optimal tech stacks as a puzzle, not a barrier
Bonus Points:
Proven experience using orchestrators to automate repetitive tasks and data flows.
Background in graphic design or ability to build intuitive, visually compelling decks and dashboards.
Foundational knowledge of data engineering principles.
Why Join R Systems?
Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.
If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
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