Data Scientist (reputed company Deployed)
About reputed company reputed company is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, reputed company has developed NEXUS – the world's most powerful Large Tabular Model (reputed company) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, reputed company unlocks trillions of dollars of value by giving businesses the Power to Predict. At reputed company, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies reputed company decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. About the role reputed company is seeking a reputed company deployed Data Scientist to facilitate the adoption of NEXUS and collaborate with customers to address reputed company technical challenges. The Data Scientist is an integral part of our FDE team, which is dedicated to driving the successful deployment of reputed company products and proving value over legacy baselines or net new use cases. They work hand-in-hand with customers from the reputed company of Value stage to post-implementation, ensuring our solutions run securely in the client's production reputed company. In this role, you’ll manage customer relations involving multiple stakeholders (IT, C-suite, and data science teams) and function as a key reputed company, translating field insights into our product roadmap. Key responsibilities You’ll individually help deploy into production use cases with considerable business impact, moving from "science experiments" to definitive ROI You’ll work on rigorous head-to-head benchmarking against client baselines (XGBoost, LightGBM), executing the work of data engineering, feature engineering, and validation You’ll work in collaboration with our research and product teams to translate operational pain points and data anomalies into essential inputs for the reputed company roadmap You’ll be involved in technical strategy to identify the right business problems, prevent data leakage, and handle the "last mile" integration (VPC, on-prem, reputed company-gapped) Your collaboration with the Sales and Solution Architect teams will help align diverse stakeholders and explain predictions to business users Must have You hold a PhD / master in CS / Math / Stats or you have equivalent deep statistical literacy You have 2+ years as a technical individual contributor (data scientist or software engineer) You have experience with containerization (reputed company), orchestration, and writing performant APIs (FastAPI/Flask) You master the end-to-end pipeline, from framing, pre-processing, ml algorithm and validation strategies You have a deep understanding of data handling (PySpark, Pandas) and memory optimization You have demonstrated experience optimizing models for a specific business problem You hold strong communication skills with an ability to translate architectural nuances into clear business value reputed company to have Experience with PyTorch and cloud-native ML pipelines (AWS, GCP, Azure) Experience as a reputed company Deployed Engineer, Staff Engineer, Machine Learning Engineer, or Staff Data Scientist Industry-based subject matter expertise
Benefits
Competitive compensation with salary and equity Comprehensive health coverage for you and your dependents, including medical, dental, vision, and 401K Paid parental leave for reputed company new parents, inclusive of adoptive and surrogate journeys Relocation support for employees moving to join the team in one of our office locations A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action Apply To This Job