Mallory Isaacson

About Mallory Isaacson

With a solid foundation in classical engineering and a transition into data science, I bring a unique blend of technical rigor and adaptability to solving complex problems. I’m quick to master new tools and adapt to new environments while grounding my approach in systems engineering principles to ensure the right problems are solved the right way. I thrive in cultures of curiosity and transparency, bridging the gap between technical and non-technical stakeholders, and collaborating with teams to deliver well formulated and data-driven solutions. 5 Work Mantras: Be someone other people want to work with Humility and confidence are not mutually exclusive Show that optimism can be realistic Excellence is a brand, but better is the enemy of good enough If you need something from someone, make it easy for them5 Fun Facts: My Nespresso machine is my world I am Florence Nightingale\'s number one fan Almost guaranteed that a conversation with me will include reference to a podcast I was listening to🪐 I live with a giant fluffy dog named Gumbo who constantly teaches me how to be a better human Most of my shirts are turtlenecks

Experience

1. Data Scientist

   Opensignal

   Nov 2022 — Present

   Works to optimize third-party data quality and signal extraction using tools like R, Python, SQL, and advanced techniques such as Bayesian analysis and experimental design. Develops automated systems for data evaluation and vendor onboarding, significantly reducing analysis time. Collaborates cross-functionally to define key product metrics and drive evidence-based decision-making.

Education

• University of Washington

  Master of Engineering - MEng, Industrial and Systems Engineering

• Georgia Institute of Technology

  Bachelor of Science - BS, Aerospace Engineering

  2013 — 2018