Data Scientist with Black Belt Certification

About R Systems: R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet. Company Link: Position Summary The Senior Data Scientist will serve as a technical lead in the development of advanced analytical solutions. This role uniquely combines Generative AI innovation with Six Sigma operational rigor to drive measurable improvements across Spectrum’s network and customer ecosystems. You will not only build models but also optimize the processes they inhabit to ensure maximum ROI and statistical stability. Key Responsibilities • Generative AI Strategy: 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. • Operational Excellence (Black Belt): 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. • Advanced Modeling: Build, validate, and deploy high-impact predictive models (Churn, CLV, Propensity) using Python, PyTorch, and Scikit-learn. • Process Optimization: Utilize Black Belt principles to reduce "waste" in data pipelines, improving model training speed and inference efficiency within Databricks/AWS. • Stakeholder Storytelling: 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 • Education: Master’s or PhD in a quantitative field (Statistics, CS, Engineering). • Certification: Lean Six Sigma Black Belt or Six Sigma Black Belt(Active certification mandatory). • Should be actively using black belt in their current role, and clearly understand how to implement the DMIAC-R model. • Experience: 5-7+ years of experience in a data-driven environment with a proven track record of leading AI initiatives. 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!