Paul Raff

Paul Raff Email and Phone Number

Head of Analytics Engineering @ Reddit, Inc.
Pittsburgh, PA, US
Paul Raff's Location
Pittsburgh, Pennsylvania, United States, United States
About Paul Raff

2021 - present: Staff Data Scientist at Reddit, helping to bring community and belonging to everyone in the world. I focus on Search, Feeds, and Experimentation, and vigorously mentor and guide numerous Data Scientists.2020 - 2021: Principal Data Scientist at Aetna, working on simple and effective ways to achieve optimal health outcomes for chronic diseases. Was Data and Machine Learning owner for the best-selling next-generation Transform Diabetes Care product: https://payorsolutions.cvshealth.com/insights/next-generation-transform-diabetes-care. Guided and directed 10 Data Scientists and Engineers.2012 - 2020: I helped grow Microsoft's Analysis and Experimentation team (i.e. ExP) from ~20 to ~150 while progressing to a Principal Data Scientist Lead, managing a group of 10. Collectively, we successfully transformed a large portion of Microsoft's business units to a high maturity level in A/B Experimentation, enabling them to accelerate innovation via trustworthy online experiments. I also had a stint as a Principal Program Manager Lead.2010 - 2012: I was an OR Scientist in the Supply Chain Optimization team at Amazon.com, developing novel, realistic mathematical models to achieve maximum performance of the Amazon supply chain. My insights and ideas have turned into an estimated $25MM savings (based on the size of Amazon's supply chain in 2012!) in shipping and operating costs.Above all, however, I'm a mentor and a teacher. I look for common themes for our group, and optimize them. I never turn anyone away who comes for help. I'm only successful if those I work with are successful.Before Amazon, I received my PhD in Mathematics at Rutgers University, working under the direction of Doron Zeilberger. My main research topics concerned computer-generated proofs. I also spent some time working on a document classification project as a Intelligence Community Fellow.Specialties: Languages: Perl, C#, Python, PowershellMathematical languages: Mathematica, Maple, RSupply chain managementMathematical models of inventory managementCombinatorial optimizationSimulationData ScienceA/B TestingData Mining

Paul Raff's Current Company Details
Reddit, Inc.

Reddit, Inc.

View
Head of Analytics Engineering
Pittsburgh, PA, US
Website:
reddit.com
Employees:
4228
Paul Raff Work Experience Details
  • Reddit, Inc.
    Head Of Analytics Engineering
    Reddit, Inc.
    Pittsburgh, Pa, Us
  • Reddit, Inc.
    Principal Data Scientist
    Reddit, Inc. Jan 2023 - Present
    San Francisco, California, Us
    Focused on the Search and A/B Experimentation areas of Data Science at Reddit - additionally providing thought leadership and technical direction throughout the Data Science and broader technical organization at Reddit.
  • Reddit, Inc.
    Staff Data Scientist
    Reddit, Inc. Aug 2021 - Jan 2023
    San Francisco, California, Us
    Bringing community and belonging to everyone in the world.
  • Aetna, A Cvs Health Company
    Principal Data Scientist
    Aetna, A Cvs Health Company Apr 2020 - Oct 2021
    Hartford, Connecticut, Us
    Tech lead and machine learning owner of the data and ML behind the next-generation Transformation Diabetes Care product, which optimizes diabetic care for hundreds of thousands of diabetics. Our novel approach identifies and plans a personalized approach to our members' next-best action as it relates to their diabetic care and well-being. Beyond diabetes, I provide technical leadership and strategy for the broader Analytics and Behavior Change organization, working with individuals and teams to achieve consistency and scale. Last but certainly not least, I'm an expert in healthcare data.
  • Microsoft
    Principal Program Manager Lead
    Microsoft Aug 2018 - Feb 2020
    Redmond, Washington, Us
    Program Manager Lead in the Core OS/Intelligent Edge Data Science and Data Engineering organization. I work daily with fantastic data scientists, data engineers, software developers and fellow program managers to utilize data to power progress for Microsoft's OS and Microsoft's cloud. I had six direct reports. Owned the data pipeline powering Windows 10 Monthly Active Devices, providing key data, analytics, and insight for senior leadership towards the push to 1 billion. Partnered closely with engineering and data science to standardize and make consistent the lifecycle of data science projects, greatly accelerating iteration cycles and loosening the engineering bottleneck. Inspiration: https://multithreaded.stitchfix.com/blog/2016/03/16/engineers-shouldnt-write-etl/Worked as part of a cross-organization effort to optimize the biannual Windows releases to serve to the right people at the right time. Managed a large-scale ML algorithm that scored hundreds of millions of devices daily and pinpointed issues related to the rollout. Owned the qualitative feedback pipeline, processing all feedback obtained through the Windows 10 Feedback Hub and other sources. Envisioned and drove a self-service framework for data scientists to plug in their own NLP pipeline without engineering bottlenecks.
  • Microsoft
    Principal Data Scientist Lead
    Microsoft Sep 2015 - Aug 2018
    Redmond, Washington, Us
    Just as before, but now with a team!
  • Microsoft
    Principal Data Scientist
    Microsoft Aug 2015 - Sep 2015
    Redmond, Washington, Us
    Accelerating innovation through trustworthy experimentation and analysis.
  • Microsoft
    Senior Applied Researcher
    Microsoft Jan 2014 - Aug 2015
    Redmond, Washington, Us
    Partnering closely with the Windows team to drive improvements to their Smart Search feature through data analysis and A/B experimentation. Improvements derived from the insights of myself and my colleagues have resulted in massive user satisfaction gains.Working on the general problem of understanding data *at scale*. As we move beyond Bing and to the rest of Microsoft with our data-driven culture and ability to extract insight from the data, it's important to be able to take a new data set and be able to automatically understand what the semantic meaning of the data set is with minimal human intervention. Implemented programs and systems that provide the ability to summarize and inspect new data sets.Leading design and implementation of experimentation summarization effort.Evangelizing the data-driven culture and constantly preaching the need to not only produce data, but the meaning within the data.
  • Microsoft
    Applied Researcher - Bing Data Mining
    Microsoft Oct 2012 - Jan 2014
    Redmond, Washington, Us
    On the Bing Data Mining Analysis team, we work closely with all feature teams to help them plan, execute, and analyze high-fidelity, trustworthy A/B experiments on bing.com. Additionally, we work on the experimentation and metrics platform to create, analyze, and assess new metrics and methodologies in estimation.
  • Amazon.Com
    Operations Research Scientist
    Amazon.Com Apr 2010 - Oct 2012
    Seattle, Wa, Us
    Developing practical solutions for an immense supply chain. Trading off exact solutions to approximate models for approximate solutions to exact models. Giving expert, precise analysis of issues facing the largest retail supply chain on a daily basis.Was the driving force behind multiple fulfillment optimization solutions, enabling millions of dollars of savings in an already heavily-optimized supply chain setting. Turned real problems into abstract ones, solved the abstract ones, and then applied the abstract solutions into real solutions.Specifically, created the prototype and theoretical solution for real-time global optimization of order fulfillment, which led the move away from greedy fulfillment and realized cost savings of $80MM/year. Collaborated with other applied researcher colleagues and software developers from the whole supply chain stack to bring to production.
  • Rutgers University
    Graduate Assistant - Monitoring Message Streams
    Rutgers University Aug 2004 - Aug 2009
    New Brunswick, Nj, Us
    I was in the Department of Mathematics at Rutgers University under the advisorship of Professor Doron Zeilberger. Up until 2009 I was a Teaching Assistant, and afterwards I was a Graduate Assistant working on the Monitoring Message Streams project sponsored by IARPA.
  • Rutgers, The State University Of New Jersey
    Ph.D. Student - Teaching Assistant
    Rutgers, The State University Of New Jersey Aug 2004 - Aug 2009
    While a student in the Department of Mathematics I taught a variety of courses, from Pre-Calculus to Combinatorics.
  • Ets
    Summer Intern - Mathematical Skills Assessment
    Ets Jun 2008 - Jul 2008
    Princeton, Nj, Us
    I participated in an intensive summer program to learn the ins and outs of math assessment.
  • Bechtel Bettis Atomic Power Laboratory
    Summer Intern - Shielding
    Bechtel Bettis Atomic Power Laboratory May 2005 - Aug 2005
    I was a summer intern in the Shielding group, working on a project to overhaul their simulation software.

Paul Raff Skills

R Simulations Mathematica C++ Java C Perl Maple Programming Languages Supply Chain Management Control Systems Design Combinatorial Optimization Mathematical Modeling Programming

Paul Raff Education Details

  • Carnegie Mellon University
    Carnegie Mellon University
    Mathematics
  • Rutgers University
    Rutgers University
    Mathematics
  • Carnegie Mellon University
    Carnegie Mellon University
    Mathematics
  • Carnegie Mellon University
    Carnegie Mellon University
    Computer Science
  • Ncssm
    Ncssm
    High School Degree

Frequently Asked Questions about Paul Raff

What company does Paul Raff work for?

Paul Raff works for Reddit, Inc.

What is Paul Raff's role at the current company?

Paul Raff's current role is Head of Analytics Engineering.

What is Paul Raff's email address?

Paul Raff's email address is pa****@****ail.com

What is Paul Raff's direct phone number?

Paul Raff's direct phone number is +170460*****

What schools did Paul Raff attend?

Paul Raff attended Carnegie Mellon University, Rutgers University, Carnegie Mellon University, Carnegie Mellon University, Ncssm.

What are some of Paul Raff's interests?

Paul Raff has interest in Computer Programming, Education, Triathlons, Science And Technology, Marathons.

What skills is Paul Raff known for?

Paul Raff has skills like R, Simulations, Mathematica, C++, Java, C, Perl, Maple, Programming Languages, Supply Chain Management, Control Systems Design, Combinatorial Optimization.

Who are Paul Raff's colleagues?

Paul Raff's colleagues are Ian Leitch, Fass Big ,am, Tiffany Ong, Tim Adams, Kimberly Gao, Andrea Partiti, Stephanie Shang.

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