Samuel Hansen

Samuel Hansen Email and Phone Number

Senior Data Scientist at Amazon @ Amazon
Samuel Hansen's Location
San Francisco, California, United States, United States
Samuel Hansen's Contact Details

Samuel Hansen personal email

n/a
About Samuel Hansen

Data scientist specializing in supply chain optimization to improve the lives of millions of people.

Samuel Hansen's Current Company Details
Amazon

Amazon

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Senior Data Scientist at Amazon
Samuel Hansen Work Experience Details
  • Amazon
    Senior Data Scientist
    Amazon Jun 2020 - Present
    Seattle, Wa, Us
    Network Engineering, Scheduling & Technology | Supply Chain Optimization
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  • Yelp
    Data Scientist
    Yelp Sep 2018 - Jun 2020
    San Francisco, Ca, Us
    Member of Core Data Science team:• Led improvements to Yelp’s experimentation platform to enable faster decision-making in A/B tests; e.g.: scaling solutions for multiple comparisons corrections (to control false positives), automated power-analysis (to accelerate test planning), early-warning system of guardrail metrics (to prevent loss).• Implemented sequential testing on Yelp's experimentation platform to allow continuous monitoring of feature releases, increasing time-to-deployment by 2 weeks per experiment. • Created Yelp Experimentation University, a company-wide training program on best practices in designing experiments, interpreting results, and making ship-it decisions (50+ enrollees; 9.2/10 NPS score). • Built and maintain Yelp's first R package (yelpR) that provides connections to SQL data stores, custom querying functions, and Yelp ggplot2 themes; decreasing toolkit onboarding time by 2X. • Co-created the Yelp Economic Average, the "DOW Jones of small business data," featured in VentureBeat and Business Insider (https://venturebeat.com/2019/01/30/yelp-wants-to-start-measuring-the-health-of-the-u-s-economy/).
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  • Yelp
    Data Science Intern
    Yelp Jun 2017 - Sep 2017
    San Francisco, Ca, Us
    • Developed pipeline to predict Yelp Transactions Platform user retention by scripting SQL queries, engineering longitudinal features, and implementing machine learning classifiers, lifting AUC 10% over the baseline model.• Constructed behavioral segmentation of Yelp Transactions Platform users to understand food-ordering patterns with K-means and factor analysis, primarily identifying user clusters using mealtime, delivery type, and food category.• Built RShiny application with interactive geographical map of spatial-temporal changes in Yelp activity.
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  • Stanford Data Lab
    Data Science Teaching Fellow
    Stanford Data Lab Mar 2017 - Jun 2017
    • Co-taught the Stanford Data Challenge Lab with Hadley Wickham and Bill Behrman, a 10-week class for best coding practices in R, including data wrangling (dplyr), visualization (ggplot2), and modeling (caret, modelr) techniques.• Mentored 20 students in daily code reviews; received a student performance rating of 4.8/5.
  • Maine Medical Research Institute
    Data Science Intern
    Maine Medical Research Institute Jul 2016 - Sep 2016
    • Created a six-month mortality prediction tool to aid shared decision-making for end-of-life care.• Directed a cross-functional team to redesign the machine learning algorithm of the Patient Reported Outcome Mortality Prediction Tool using gradient boosting machines and random forest models, achieving 55% lift in sensitivity from physicians’ baseline and 15% lift in AUC over the prior model.• Communicated feature importance to help physicians better identify patients eligible for hospice care.
  • Stanford University Symbolic Systems Department
    Teaching Assistant
    Stanford University Symbolic Systems Department Sep 2015 - Dec 2015
    Stanford, Ca, Us
    • Taught weekly sections for Symbolic Systems 100: Minds and Machines, a core course in cognitive science and artificial intelligence in the Symbolic Systems Program. • Designed course materials related to behavioral economics and decision theory.
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  • Eye Square
    Data Science Intern
    Eye Square Jun 2015 - Aug 2015
    Berlin, De
    • Implemented a Markov-chain clickstream visualization tool to understand user behaviors in client data.• Conducted eye-tracking studies on consumer focus groups to optimize user click-through rates.
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  • Symbiotic Project On Affective Neuroscience
    Research Assistant
    Symbiotic Project On Affective Neuroscience Mar 2013 - Jun 2015
    The Symbiotic Project on Affective Neuroscience is a neuroimaging lab at Stanford that investigates the neural basis of decision-making. I helped conduct experiments using functional magnetic resonance imaging (fMRI) and analyzed neural data. Projects on which I collaborated include: 1. investigating how brain activity from a “neural focus group” predicts aggregate lending rates on microloan website Kiva.org.2. examining how the human brain mediates financial risk preferences when exposed to positive and negative olfactory stimuli.
  • Stanford Economics Association
    President
    Stanford Economics Association Mar 2013 - Aug 2014
    Stanford, Ca, Us
    • Led a team of students and faculty to deliver a wide range of opportunities to the economics community at Stanford, including bimonthly economics roundtable discussions, faculty lunches, mentorship programs, alumni workshops, policy forums, and an undergraduate economics journal. • Organized Stanford’s first-ever neuroeconomics symposium at the Stanford Institute for Economic Policy Research (SIEPR), which included 300 attendees, 10 speakers, and 5 consumer neuroscience firms.
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  • Ogilvy & Mather
    Strategic Planning Intern
    Ogilvy & Mather Jun 2013 - Aug 2013
    New York, Ny, Us
    • Developed online marketing strategies and web campaigns on Weibo.com and Babytree.com.• Conducted market research for international brands entering the nutrition and fashion sectors in China.
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Samuel Hansen Skills

Data Analysis Research Economics Neuroscience Java Marketing Strategy Mandarin Qualitative Research Leadership Quantitative Research Statistics Social Media R Public Speaking German Jazz Improvisation Python Microsoft Office Magnetic Resonance Imaging Policy Analysis Data Visualization Microsoft Excel Mapreduce

Samuel Hansen Education Details

  • Stanford University
    Stanford University
    Management Science & Engineering
  • Stanford University
    Stanford University
    Neuroeconomics And Symbolic Systems

Frequently Asked Questions about Samuel Hansen

What company does Samuel Hansen work for?

Samuel Hansen works for Amazon

What is Samuel Hansen's role at the current company?

Samuel Hansen's current role is Senior Data Scientist at Amazon.

What is Samuel Hansen's email address?

Samuel Hansen's email address is ks****@****ord.edu

What schools did Samuel Hansen attend?

Samuel Hansen attended Stanford University, Stanford University.

What are some of Samuel Hansen's interests?

Samuel Hansen has interest in Propaganda Art, Jazz Drumming, Fencing.

What skills is Samuel Hansen known for?

Samuel Hansen has skills like Data Analysis, Research, Economics, Neuroscience, Java, Marketing Strategy, Mandarin, Qualitative Research, Leadership, Quantitative Research, Statistics, Social Media.

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