Emily Thompson Email & Phone Number

San Francisco, California, Us

Strategic data leader supporting the Head of Data at Gusto

San Francisco, California, Us

Data Lead across Gusto's Payroll and CX Platform products and people manager of Decision Science teams

Author of "The Data Leader's Survival Guide"https://scientistemily.substack.com/

San Francisco, Ca, Us

Head of Mozilla’s Firefox Product Data Science and Marketing Analytics data teams. Worked with business leaders to drive multiple key initiatives, transforming Mozilla’s culture towards data-informed decision-making.Led team in development of business metrics (KPIs) and forecasts, user experience experimentation, inferential statistics practices and opportunity sizing to understand user acquisition, engagement, retention/churn and Firefox browser platform performance.Hiring manager for both technical leadership and people management. Committed team advocate; provided career guidance that resulted in several promotions. Established a new data team focused on connecting marketing spend with product growth outcomes. Created the Mozilla Analytics Program vision and strategy, putting the data customer front and center during migration to Looker as a self-service data access tool. As Data PM, established several cross-functional teams of data scientists, data engineers, user research and program management to build internal data products and improve company-wide data literacy.Liaison for external consultant partner engagement for Data Product go-to-market strategy development

San Francisco, Ca, Us

Drove organizational cultural change around evidence-based decision making and created a cross-functional effort to build a centralized experimentation platform for Firefox.Built data science team hiring process that fostered fairness and a diverse candidate pool that led to successful hires, and established a career ladder for Mozilla Data Scientists.

San Francisco, California, Us

Manager of Fitbit’s Product Analytics and Data Science team, owning data science and analytics program roadmap, including project development, prioritization and execution. Worked directly with CTO/Cofounder and VPs of Software Engineering and Product to develop the data strategy and data-informed product development at Fitbit.Led team responsible for several high-profile data initiatives, including pre- and post-launch analytics for device launches (Ionic, Versa, Ace, Charge 3), KPI development, and product performance monitoring. Established evidence-based decision-making culture at Fitbit through experimentation platform development, experimental design, and post-experiment analysis, and enforced statistical rigor in determining product feature (both hardware and software) success.With the team, developed culture, mission, roadmaps and future direction of Data Science at Fitbit. Organized first Data Summit in Boston with CTO and key data science and engineering teams.

San Francisco, Ca, Us

Responsible for direction and development of multi-million dollar flagship product. Manager of data scientists, program managers, and customer relationship managers. Worked directly with CEO/Founder and VP of Product to implement data-driven strategies directly related to product and company growth. Hiring manager with extensive experience interviewing for data science roles (Insight program) as well as internal team hires. Oversaw training and career development direct reports, established initiatives to train other managers at Insight. Led two cohorts of flagship program at Insight, acting as Technical Data Science Manager for 70+ Fellows.Performed analysis on alumni data and partner company engagement, cleaned and standardized messy data, and built internal dashboards, leading to insights directly impacting product profitability. Directly responsible for partner company engagement resulting in 40+ new accounts.

New York, Ny, Us

Post-doctoral Research Scientist in experimental high-energy particle physics at Columbia University. Based at CERN in Meyrin, Switzerland; member of the ATLAS collaboration. • Main lead for working group performing a likelihood-based statistical analysis on a petabyte-scale dataset to search for new physics phenomena.• Co-managed two working groups on ATLAS detector performance to implement novel techniques.• Managed team of over 30 physicists and servicing over 15 other ATLAS projects.• Lead software development tasks across multiple working groups, leading to peer-reviewed publications• Liaison between working groups to provide analysis recommendations, centralize data and software, write documentation.Other activities:• Wrote and maintained C++/ROOT data analysis software package for Columbia ATLAS group • Organized first ATLAS workshop on a novel analysis technique that became widely used in the field of high energy particle physics at CERN• Contributed to calibration algorithm development for prototype ADC chip for data acquisition electronics• Peer-review board member (ATLAS internal) of three separate analysis papers• Program manager/mentor for undergraduates in the Columbia Summer Research Experience for Undergraduates (REU) program.• Official ATLAS cavern tour guide

Bonn, De

Exchange between University of Massachusetts, Amherst and the Institut für Theoretische Physik, Universität HeidelbergResearch topic: Computational theory of chromatin dynamics: contributed to data model interpretation and programming aspects of the simulation

Gathered data on minorities in the STEM disciplines to prepare for the McNair Scholarship Program Grant application at the UMass-Amherst campus. Collected data on women in STEM disciplines for the UMass-Amherst ADVANCE NSF Grant application.

Doctor Of Philosophy (Ph.D.), Physics

Bachelor Of Science, Physics