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Senior Data Scientist; Six Sigma Black Belt Certification

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: R Systems
Full Time position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Science Manager
Job Description & How to Apply Below
Position: Senior Data Scientist (Six Sigma Black Belt Certification Must)

Job Details

Title: Senior Data Scientist (Six Sigma Black Belt Certification Must)

Location: Denver, CO

Duration: Long Term

Employment Type: Full‑time

In person interview required.

R Systems is a leading digital product engineering company that designs and develops chip‑to‑cloud software products, platforms, and digital experiences. Our product‑mindset and engineering capabilities in Cloud, Data, AI, and CX serve key players in high‑tech industries. R Systems is a certified Great Place to Work in 10 countries and was named one of the Best Tech Brands 2024 by the Times Group and India’s Top 500 Value Creators 2023 by Dun & Bradstreet.

Key Responsibilities
  • Lead the research and implementation of Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) to automate complex business workflows and enhance internal knowledge management systems.
  • Apply DMAIC (Define, Measure, Analyze, Improve, Control) methodology to the data science lifecycle, identify root causes of operational inefficiencies, and deploy AI solutions to mitigate them.
  • Build, validate, and deploy high‑impact predictive models (Churn, CLV, Propensity) using Python, PyTorch, and scikit‑learn.
  • Utilize Black Belt principles to reduce “waste” in data pipelines, improving model training speed and inference efficiency within Databricks/AWS.
  • Act as a bridge between technical AI labs and executive leadership, translating complex neural‑network outputs into Six Sigma‑validated business cases.
Required Technical Skills
  • GenAI Stack:
    Experience with Lang Chain, Llama Index, vector databases (Pinecone/Milvus), and fine‑tuning open‑source models.
  • Data Engineering:
    Expert‑level SQL and PySpark for grooming large‑scale datasets.
  • Statistical Control:
    Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance.
  • MLOps:
    Proficiency in versioning and deploying models in cloud environments (Azure/AWS).
Education & Certifications
  • Master’s or PhD in a quantitative field (Statistics, CS, Engineering).
  • Lean Six Sigma Black Belt or Six Sigma Black Belt (Active certification mandatory).
  • 5–7+ years of experience in a data‑driven environment with a proven track record of leading AI initiatives.
Benefits
  • Frequent Internal Hackathons with prizes to sharpen skills.
  • Cultural Celebrations fostering a sense of community.
  • Diverse Project Exposure across sectors such as Healthcare, Banking, e‑commerce, and Retail.
  • Centre of Excellence (COE) offering technical guidance and upskilling opportunities.
  • E‑Learning Platform and robust mentorship program to enhance your skills.
  • Open Door Policy promoting a collaborative work environment.

Equal Opportunity Statement
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 actively encourage applications from individuals of all backgrounds and experiences.

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Position Requirements
10+ Years work experience
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