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Sebastian Perez Saaibi

Sebastian Perez Saaibi

Director of Data Science at Phreesia

 LinkedIn profile

Seniority

10 Years

Hierarchy

Executive

Management Experience

Scaling Team
Conflict solving
Firing
Hiring
Career Path
Data team

Hello! My name is Sebastian Perez Saaibi, and I'm currently a Director of Data Science at Phreesia, the leader of patient intake in the US. I have 10+yrs of experience as Data Scientist, in both IC, startup founder and technical management roles across different industries such as mining, finance, retail and healthcare. I enjoy building teams of Data Scientists, Machine Learning Engineers and Data Engineers to come up with products that solve complex organizational challenges. I also enjoy mentoring technical managers and data scientists. I'm based in NYC and really look forward to share what I've learned in this journey while learning from others in the Plato network.

Sebastian is not available in the next 4 weeks.

Stories

Outlining Trajectories of Growth for Senior Engineers
13 December

Sebastian Perez Saaibi shares strategies for helping senior engineers grow and feel successful in your organization.

Coaching / Training / Mentorship
Career Path
Retention
Company Culture
EM
Sebastian Perez Saaibi

Sebastian Perez Saaibi

Director of Data Science at Phreesia

Experience

Director of Data Science

Phreesia

Aug 2018 - current

Lead Phreesia's Data Science and Machine Learning strategy and vision. \- Attract, hire, mentor and grow a team of Machine Learning Engineers, Data Scientists and Data Engineers (10+) \- Provide thought leadership to internal and external business executives. \- Hands-on data product building, algorithmic selection, model validation and evaluation of Phreesia's ML production services. \- Set an open, collaborative, educational, hands-on team culture that works cross-functionally with other business units. \- Build and promote the data science competencies and growth framework

Data Science and Machine Learning Mentor

Plato

Aug 2018 - current

Provide guidance and advice to emerging technical leaders in data science and machine learning

Data Scientist

DataCamp

May 2015 - Jun 2015

Conceptualize, design and create the Introduction to Machine Learning course: https://www.datacamp.com/courses/introduction-to-machine-learning-with-r Curation and edition go the Intermediate R course. Advisor in Data Science Hiring.

Assistant Professor

Universidad de los Andes

Jan 2015 - Jun 2015

Teaching, co-designing and providing materials for the following courses: Herramientas Computacionales (Computational Tools): Basic introduction to computational tools for physicists, mathematicians and geoscientists. See repo https://github.com/jngaravitoc/HerramientasComputacionales MĂ©todos Computacionales (Computational Methods): Intro to the most common and useful Computational Methods for physicists, mathematicians and geoscientists. See repo https://github.com/forero/ComputationalMethods

Edmond J. Safra Network Fellow

Harvard University

Jul 2012 - Aug 2013

Use networks and graph theory to model and monitor corruption in Colombia's largest corporations, as well as identify potential revolving doors between corporations and government officials. Contribute with data science events such as the iCorruption Hackathon 2015. http://www.ethics.harvard.edu/people/fellows-and-scholars/all?layout=displayresults&show=current&drp\_display=5¤t\_mode=3&start=10

CEO and Co-Founder | Chief Data Scientist

Aentropico

Jan 2012 - Dec 2014

Aentropico brings the power of Predictive Analytics to the hands of every business owner with simple and user-friendly DataApps.

Quantitative Research

Complexity Scientist Enthusiast

Aug 2011 - Dec 2011

Complex System based Quantitative research. Use tools from Statistical Physics to develop robust risk assessment schemes.

Quantitative Analyst: Trading Strategies R&D

Macx Red

Aug 2010 - Aug 2011

Member of macxred's research team for Quantitative, High-Frequency Trading Systems. Design, testing and implementation of portfolio-based risk mitigation schemes. Promote the design of an automated strategy selection mechanism. Implement robust asset allocation and Regime-based Trend Following strategies.

MSc. Thesis in Econophysics

ETH Zurich

Mar 2010 - Jul 2010

MSc. Thesis "Dynamic Risk Diversification in Portfolio Optimization" 5.75/6.00. Talks: 4th R/Rmetrics Computational Finance Workshop. 2nd BaselR User Group Conference Title: "R/Rmetrics Motion Chart Generator"

Manteinance Engineer, BHP Billiton's Graduate Program.

BHP Billiton

Apr 2008 - Aug 2008

Mine Maintenance. BHP Billiton’s Graduate Program. \* Statistical Analyses directed toward the reduction of the time between component failure (MTBF). \* Close monitoring of the the electromechanical condition of the entire Caterpillar heavy-duty fleet.

Visiting Researcher (Intern)

University of Maryland, College Park

Jun 2006 - Aug 2006

Invited by Prof. Dr. Elisabeth Smela to participate in a Research Project called “Cost reduction and characterization of Compliant Electrodes”. Advisor: Remi Delille, MSc. Project Director: Prof. Dr. Elisabeth Smela. Laboratory for Microtechnologies , University of Maryland, College Park, MD, USA.

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