Scott T. Watson, Ph.D.

Data Scientist

Contact

Email
swatso10[at]gmu.edu
Location
Washington, D.C.

About

Scott is a D.C. native currently working as a data scientist with Systems Planning & Analysis Inc., where he uses state-of-the-art analytics to help provide decision support services for enterprise-level management problems. He has earned degrees from The College of William & Mary and George Mason University, and before his current position at Systems Planning & Analysis, was an assistant professor of data science at George Mason University. While his work focuses on time series forecasting and streaming data analysis, he also has extensive experience in network analysis.

Profiles

LinkedIn
Scott Watson

Work

  1. Systems Planning & Analysis, Inc.

    Systems Planning & Analysis, Inc.
    Website
    https://spa.com/
    Position
    Data Scientist
    Date
    Jul, 2019Current

    Supporting several SPA programs, Scott is using advanced mathematical, statistical, and analytical models to help provide data-based decision support services for these programs. Current work is focused on supporting the continuing development of SPA's core software through improving models and source processing flows, performing on-demand analysis results for customer requests, as well as creating customer-facing briefs to answer complex data questions.

    Highlights
    • Tasks included using Python and R for large-data processing, advanced modeling, and robust analysis to provide forecasts and data-driven decision support for customer challenges
    • Built a from-scratch streaming data platform through agile-style processes for aligning, merging, and processing multiple human-generated and machine-generated data sources in order to create consistent data pipelines for analysis and forecasting
    • Introduced to project team neural network-based natural language processing tools for extracting vital information from free-text data
    • Created a Python library and tool to find the intersection of time series events among multiple data sources to highlight overlaps and conflicts within the event timelines
    • Utilized advanced parallel programming, SQL, and NoSQL techniques to improve the throughput and storage of large data sources necessary for analysis results.
  2. Veracity Forecasting Group (SPA)

    Veracity Forecasting Group (SPA)
    Website
    https://spa.com/
    Position
    Data Scientist
    Date
    Jul, 2019Current

    Group within Systems Planning & Analysis, Inc.

  3. Veracity Forecasting Group (SPA)

    Veracity Forecasting Group (SPA)
    Website
    https://spa.com/
    Position
    Data Scientist
    Date
    Jun, 2019Jul, 2019

    Previously Veracity Forecasting and Analysis, Inc., before acquisition by Systems Planning & Analysis, Inc.

  4. George Mason University

    George Mason University
    Website
    https://www.gmu.edu/
    Position
    Assistant Professor
    Date
    Aug, 2018Jun, 2019

    Taught multiple undergraduate-level courses in both GMU's Computational Data Science department and Physics department. Duties included teaching fundamental mathematical and physical concepts, using computers and programming languages to model real-world phenomena, as well as introducing high-level data science and machine learning techniques.

    Highlights
    • Taught how to model real-world phenomena such as predator-prey models, chaotic dynamical systems, and DNA subsequence matching with Python and MATLAB
    • Introduced basic data science, database, and machine-learning concepts to prospective majors
    • Propsed and implemented improvements to the introductory data science courses to better integrate the topics at hand with the skills being taught
  5. George Mason University

    George Mason University
    Website
    https://www.gmu.edu/
    Position
    Full-Stack Webmaster
    Date
    Jun, 2017Aug, 2018

    Re-designed outdated Department of Physics and Astronomy website in accordance with university style guidelines.

    Highlights
    • Developed a front-end that was HTML5-compilant and mobile-friendly
    • Designed a Wordpress backend that was meant for use by non-technically-inclined users
  6. Hamiltonian Artists

    Hamiltonian Artists
    Website
    http://www.hamiltonianartists.org/
    Position
    Full-Stack Webmaster
    Date
    Jun, 2014Sep, 2015

    Updated a Wordpress-based site to remove viruses and perform speed enhancements. In cooperation with Gallery sponsers, reworked the frontend to provide greater focus on content and helped implement new security procedures to help prevent hacking attempts.

Education

  1. George Mason University

    George Mason University
    Website
    https://www.gmu.edu/
    Study
    DoctoratePhysics
    Date
    Aug, 2009May, 2018
  2. George Mason University

    George Mason University
    Website
    https://www.gmu.edu/
    Study
    MastersApplied and Engineering Physics
    Date
    Aug, 2009Dec, 2012
  3. The College of William & Mary

    The College of William & Mary
    Website
    https://www.wm.edu/
    Study
    Bachelor of SciencePhysics
    Date
    Aug, 2005May, 2009

Awards

  1. Outstanding Service Award

    Outstanding Service Award
    Awarder
    SPA Joint, Land, Air, and Space Division (JD)
    Date
    Mar, 2020

    Outstanding service award for exemplary contributions made to SPA.

Theses

  1. Exploring Collective Dynamics of Networks: Limits of the Ott-Antonsen Approach

    Exploring Collective Dynamics of Networks: Limits of the Ott-Antonsen Approach
    Date
    May, 2018
    Authors
    S. Watson
    Publisher
    George Mason University
  2. Robotic Multi-Sensor Fusion

    Robotic Multi-Sensor Fusion
    Date
    May, 2009
    Authors
    S. Watson
    Publisher
    The College of William & Mary

Presentations

  1. Symmetry Breaking in a Network of Networks

    Symmetry Breaking in a Network of Networks
    Date
    Dec 12, 2014Dec 14, 2014
    Event
    Advances in Discrete Networks
    Location
    Pittsburgh, PA
    Presentors
    S. Watson, E. Barreto, B. Cotton, P. So

    Poster presented.

  2. Symmetry Breaking in a Network of Networks

    Symmetry Breaking in a Network of Networks
    Date
    May 17, 2015May 21, 2015
    Event
    2015 SIAM Conference on Applications of Dynamical Systems
    Location
    Snowbird, UT
    Presentors
    S. Watson, E. Barreto, B. Cotton, P. So

    Talk presented.

Skills

Areas
  • Data Analysis
  • Mathematical Modeling
  • Statistical Analysis
  • Machine Learning
  • Computational Physics
  • Web Development
Tools
  • Python
  • R
  • C/C++
  • Rust
  • Javascript
  • SQL
  • LaTeX
  • Mathematica
  • Matlab

Last Updated: December, 2021