Palmy Chomchat Silarat
Senior People Scientist @ Bright Horizons
- Role
- Senior People Scientist at Bright Horizons
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Palmy Chomchat Silarat
and data scientist specializing in human-centered statistics, predictive analytics, and people-based product optimization. A trusted consultant for executives and department heads with leadership experience in designing actionable, scalable analytics solutions that drive measurable impact.Love working in a collaborative setting and providing healthy leadership dynamics-Qualifications:Technical:R/Python (scripting language), SQL (Database Management), ETL Optimization, Java (Programming Language), Cloud Computing (Snowflake/AWS), CSS, HTML, Tableau/Domo/PowerBI (BI Tools), RShiny (Web Applications).Research and Statistics: Product/UX Research, People Analytics, Survey Research, Psychometrics (CTT, IRT, FA), Machine Learning (ML), Causal inference, Bayesian Inference, Non-linear/Logistic Models, Multilevel Modeling, Structural Equation Modeling, A/B Testing.Outside of my full-time job, I enjoy playing music and managing properties!
Experience
Senior People Scientist
May 2025 — Present
Bright Horizons is a global provider of high-quality early education, child care, back-up care, elder care, and workforce education solutions, partnering with over 1,450 leading employers to help families and organizations thrive- Serves as an HR data and research scientist leading workforce management prediction, supplying staff to 800+ locations across the US, ensuring alignment with business growth, legal teacher-child ratio requirements, and staff quality- Leverages research designs including RCT, quasi experiment, and time series analysis to deliver recommendations to VP of HRIS, total rewards, and other stakeholders. Research includes benefits ROI, employee experience, and childcare risks- Creates, deploys, and maintains machine learning models (hard code - Python, R/ AutoML - OneModel, DataRobot), ensuring ethical predictions for major decisions made in HR- Leads data science and engineering scaling within HR through onboarding and implementing OneModel, a full service HR tech- Spearheads machine learning data pipeline quality assurance and structure validation, managing datasets belonging to corporate and frontline staff across various platforms including Workday, workforce, Payscale, UKG, and more.
Education
University of Cambridge
Master's degree, Education Research
Indiana University Bloomington
Bachelor's degree, Music
2013 — 2017
DataCamp
Complete Skill Track Certificate, R Programming
University of Washington
Graduate Certificate, Psychometrics & Applied Analytics
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