I have 15 years of experience in data science and analysis. I have built many machine-learning products in a variety of industries, including one product that generated millions of dollars of revenue. I have also created analyses and predictive simulations for senior and executive leaders that saved tens of millions of dollars.

Christopher Kish

I have 15 years of experience in data science and analysis. I have built many machine-learning products in a variety of industries, including one product that generated millions of dollars of revenue. I have also created analyses and predictive simulations for senior and executive leaders that saved tens of millions of dollars.

Available to hire

I have 15 years of experience in data science and analysis. I have built many machine-learning products in a variety of industries, including one product that generated millions of dollars of revenue. I have also created analyses and predictive simulations for senior and executive leaders that saved tens of millions of dollars.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Chief Data Scientist at Reef Media
August 1, 2025 - Present
Created an LLM & RAG system to verify claims with the entire Wikipedia dump using GPT and a vector database.
Data Scientist Professional at RSI
August 1, 2023 - September 1, 2024
Established ML-team product infrastructure & processes with Databricks, Azure, and Azure AI Search; built a fuzzy database record-matching pipeline using Spark, Databricks, a language model, a vector database, and a PowerBI monitoring dashboard.
Data Science Consultant at C8 Sciences
June 1, 2022 - July 1, 2022
Designed cognitive ability models for users of games using Bayesian statistics and machine learning.
Senior Data Scientist, Recommendations at SoundCloud
March 1, 2021 - May 1, 2022
Created the company's first ML Ops system to train and deploy a real-time model for personalized song recommendations using an in-memory vector database, Vertex, MLFlow, and Airflow; built a feature store, trained models, and supported AB-testing analyses.
Lead Data Scientist at HeyJobs
December 1, 2016 - November 1, 2020
Invented and programmed a production pipeline of multiple ML and Bayesian models to optimize advertising campaigns for tens of thousands of individual jobs; built a Spark/TensorFlow-based recommender; integrated a language-model-assisted audience optimization for Facebook ads; created a job-attribute classifier; designed a data warehouse and dashboards for AB experiments.
Senior Business Intelligence Manager at Rocket Internet
February 1, 2015 - December 1, 2016
Built media mix valuation, customer lifetime value, and survival models; extracted insights from free-text survey responses with NLP tools; programmed real-time bidding segments with Spark; improved churn and created dashboards and ETL pipelines.
Data Analyst at Knewton
June 1, 2013 - September 1, 2014
Led experimentation advisory group; modeled textbook quality from student responses; built automated dashboards and data services; implemented ETL pipelines to populate a data warehouse; wrote MapReduce, Python, and SQL programs.
Consultant at PA Consulting
July 1, 2008 - June 1, 2013
Advised team-leads on multi-billion dollar projects via data analyses, simulations, metrics, and risk forecasting; contributed to executive-level deliverables and strategic guidance.

Education

BS in Mechanical Engineering at Stanford University
September 1, 2002 - June 1, 2006
MS in Aeronautics & Astronautics at Massachusetts Institute of Technology
September 1, 2006 - June 1, 2008

Qualifications

NDSEG Fellow
January 11, 2030 - January 4, 2026
Top 1% on HackerRank Python
January 11, 2030 - January 4, 2026
Python & Advanced SQL Certification
January 11, 2030 - January 4, 2026
Data Scientist Certification (Triplebyte)
January 11, 2030 - January 4, 2026

Industry Experience

Software & Internet, Media & Entertainment, Education, Professional Services