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Senior Data Scientist with 12+ years of experience building and scaling production-grade machine learning systems across e-commerce, healthcare, and SaaS. Specialized in statistical modeling, recommendation systems, NLP/LLM pipelines, and large-scale data platforms, with real-time inference at high scale. Proven track record driving measurable business impact through experimentation, predictive modeling, and reliable inference systems handling millions of user interactions. Experienced across end-to-end pipelines (ingestion → feature engineering → training → inference) and building monitoring, evaluation, and drift detection to improve production reliability.…Senior Data Scientist with 12+ years of experience building and scaling production-grade machine learning systems across e-commerce, healthcare, and SaaS. Specialized in statistical modeling, recommendation systems, NLP/LLM pipelines, and large-scale data platforms, with real-time inference at high scale. Proven track record driving measurable business impact through experimentation, predictive modeling, and reliable inference systems handling millions of user interactions. Experienced across end-to-end pipelines (ingestion → feature engineering → training → inference) and building monitoring, evaluation, and drift detection to improve production reliability.

Josh Uapikering

Data Scientist, Data Engineer, Data Analyst, +2

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Senior Data Scientist with 12+ years of experience building and scaling production-grade machine learning systems across e-commerce, healthcare, and SaaS. Specialized in statistical modeling, recommendation systems, NLP/LLM pipelines, and large-scale data platforms, with real-time inference at high scale. Proven track record driving measurable business impact through experimentation, predictive modeling, and reliable inference systems handling millions of user interactions. Experienced across end-to-end pipelines (ingestion → feature engineering → training → inference) and building monitoring, evaluation, and drift detection to improve production reliability.…Senior Data Scientist with 12+ years of experience building and scaling production-grade machine learning systems across e-commerce, healthcare, and SaaS. Specialized in statistical modeling, recommendation systems, NLP/LLM pipelines, and large-scale data platforms, with real-time inference at high scale. Proven track record driving measurable business impact through experimentation, predictive modeling, and reliable inference systems handling millions of user interactions. Experienced across end-to-end pipelines (ingestion → feature engineering → training → inference) and building monitoring, evaluation, and drift detection to improve production reliability.

Available to hire

Senior Data Scientist with 12+ years of experience building and scaling production-grade machine learning systems across e-commerce, healthcare, and SaaS. Specialized in statistical modeling, recommendation systems, NLP/LLM pipelines, and large-scale data platforms, with real-time inference at high scale.

Proven track record driving measurable business impact through experimentation, predictive modeling, and reliable inference systems handling millions of user interactions. Experienced across end-to-end pipelines (ingestion → feature engineering → training → inference) and building monitoring, evaluation, and drift detection to improve production reliability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Work Experience

Senior Data Scientist at Wayfair

May 1, 2022 - February 1, 2026

Designed and deployed large-scale machine learning pipelines (data ingestion → feature engineering → training → inference) powering personalization and recommendations across high-traffic e-commerce platforms. Built ranking/recommendation models using PyTorch, scikit-learn, and embedding-based techniques, improving conversion rate ~18% and increasing user engagement. Engineered high-throughput real-time inference services using FastAPI and distributed microservices, reducing p95 latency ~40% while supporting millions of daily prediction requests. Developed event-driven data pipelines (Kafka, Spark, Pandas) for continuous model training and feature updates. Applied statistical experimentation (A/B testing, hypothesis testing) to evaluate model performance and optimize personalization strategies. Integrated LLM-powered features (RAG, embeddings, vector search) to improve semantic search accuracy and recommendation explainability, and implemented monitoring, evaluation, and drift d

Senior Data Scientist at Presidium Health

October 1, 2018 - April 1, 2022

Designed and deployed predictive models for patient risk scoring and clinical outcome prediction using TensorFlow, PyTorch, and scikit-learn, improving prediction accuracy by ~22%. Built NLP pipelines (Hugging Face, spaCy, transformers) to extract insights from unstructured clinical data to enable data-driven healthcare decision-making. Engineered large-scale ETL pipelines (Spark, Pandas, NumPy) processing tens of millions of healthcare records to support model training and analytics workflows. Applied statistical modeling and exploratory data analysis to identify trends and improve model performance across healthcare datasets. Deployed ML systems on AWS SageMaker and Azure ML, enabling scalable and reproducible training and inference pipelines. Implemented secured data pipelines and validation frameworks ensuring HIPAA compliance and high data integrity, improving system reliability and reducing downtime by ~30% through monitoring, infrastructure optimization, and ML lifecycle improv

Data Scientist at Outreach

March 1, 2016 - September 1, 2018

Built machine learning-driven analytics and recommendation features integrated into enterprise SaaS platforms, improving user engagement and product insights. Developed data pipelines and real-time analytics systems enabling actionable insights from large-scale operational data.

Junior Data Scientist at Patreon

September 1, 2013 - February 1, 2016

Built early-stage data pipelines and analytics systems supporting creator engagement and revenue tracking. Designed ETL workflows aggregating and transforming user activity data into structured datasets for analysis. Applied exploratory data analysis to identify trends and improve reporting accuracy. Developed data-driven insights supporting product and monetization strategies. Optimized backend data processing and database performance as the platform scaled.