Emanuel Strauss
Data AnalystDistinguished Engineer
Facebook
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Distinguished Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a Tech Lead, Director of Engineering, at Facebook driving cross-functional initiatives to enable new lines of business powered by state-of-the-art AI.
Stony Brook University
Ph.D., Elementary Particle Physics
January 1, 2004 – January 1, 2009
The Johns Hopkins University
Bachelors Degree, Physics, Computer Science
January 1, 2000 – January 1, 2004
Distinguished Engineer, Neural Interfaces
June 1, 2022 – Present
Director Of Engineering, Business Integrity
April 1, 2017 – June 1, 2022
Machine Learning Engineer, Business Integrity
December 1, 2014 – April 1, 2017
AT&T Big Data
Associate Director of Data Insights
October 1, 2014 – December 1, 2014
Palo Alto, CA
AT&T Big Data
Senior Data Scientist
December 1, 2013 – October 1, 2014
Palo Alto, CA
CERN
User
January 1, 2010 – November 1, 2012
Geneva, Switzerland
Stanford / SLAC National Accelerator Laboratory
Research Associate
September 1, 2009 – December 1, 2013
Palo Alto, CA
Fermilab
User
January 1, 2006 – August 1, 2009
Batavia, IL
Stony Brook University
Graduate Student
September 1, 2004 – August 1, 2009
Stonybrook, NY
Kaggle Data Science Competitions
January 1, 2013 – Present
Ranked 321st out of 114,957 amateur and professional data scientists using a mix of data mining techniques, machine learning algorithms, and old-fashioned detective work: ● Digit Recognizer -- currently in the top 5%, using an SVM and computer vision techniques. ● KDD Cup 2013 - Author-Paper Identification Challenge (Track 1) -- placed in the top 10%, generating features with SQL and performing classification with boosted decision trees. ● Cause-effect pairs -- placed in the top 10%, fitting trends using neural networks, quantifying distributions using statistical methods, and classification with random forests. ● Amazon.com Employee Access Challenge -- placed in the top 25%, using a k-means clustering algorithm and a logistic regression.
Cultural Fit Analysis
The candidate's diverse background, spanning fundamental physics research (CERN, Stanford, Fermilab), large-scale data science at AT&T, and senior leadership in AI/ML at Facebook, demonstrates adaptability and a broad intellectual curiosity. Their engagement in Kaggle competitions and academic research indicates a continuous learning mindset and a passion for complex problem-solving. The progression from individual contributor to distinguished engineer and director roles, coupled with experience in integrity and privacy, suggests a strong ethical compass and a commitment to responsible technology development. This profile aligns well with a culture that values innovation, technical depth, and impactful contributions.
Soft Skills & Operational Fit
The candidate's experience at Facebook as a Distinguished Engineer and Director of Engineering, along with their roles at CERN and Stanford, indicates strong leadership, project management, and cross-functional collaboration skills. Their ability to define technical strategy, own end-to-end quality, and make critical trade-offs suggests excellent operational fit. The description of managing teams and driving initiatives across 100+ engineers highlights strong communication and organizational capabilities. Their involvement in Kaggle competitions also points to a self-driven and competitive nature.