Senior Data Scientist (Six Sigma Black Belt Certification Must)

R Systems; Denver (CO); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Frequent Internal Hackathons

Cultural Celebrations

Diverse Project Exposure

Centre of Excellence (COE)

E-Learning Platform

Open Door Policy

Job summary

A leading digital product engineering company is seeking a Senior Data Scientist with Six Sigma Black Belt certification in Denver, CO. This role involves leading research into Large Language Models to enhance business workflows, applying DMAIC methodology, and deploying predictive models with Python. Candidates should have a Master's or PhD in a quantitative field, comprehensive technical skills in SQL and MLOps, and a minimum of 5 years in AI initiatives. The company offers diverse project exposure and a supportive work culture.

Qualifications

• 5–7+ years of experience in a data-driven environment.
• Proven track record of leading AI initiatives.
• Active Lean/Six Sigma Black Belt certification required.

Responsibilities

• Lead research and implement LLMs and RAG for business workflows.
• Apply DMAIC to identify inefficiencies and deploy AI solutions.
• Build, validate, and deploy predictive models using Python.
• Utilize Black Belt principles for data pipeline improvements.
• Act as a bridge between technical AI labs and leadership.

Skills

Experience with LangChain

Expert-level SQL

Proficiency in PySpark

Deep understanding of Design of Experiments

Versioning and deploying models in cloud environments

Education

Master’s or PhD in a quantitative field

Lean Six Sigma Black Belt certification

Tools

Python

PyTorch

scikit-learn

Databricks

AWS

Job description

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 LangChain, LlamaIndex, 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.