Martin Tingley

CEO

16 yrs 8 mos experience
Highly Stable

Key Highlights

  • Leader in experimentation practices at Microsoft.
  • Expert in statistical modeling and data analysis.
  • Mentor and educator in data science and statistics.
Stackforce AI infers this person is a leader in data science and experimentation within tech and academia.

Contact

Skills

Core Skills

ExperimentationData ScienceA/b TestingData AnalysisStatistical AnalysisResearchStatistical ModelingTeachingStatistical ClimatologyReinsuranceCollaboration

Other Skills

StatisticsScienceClimate ChangeRMatlabMathematical ModelingClimate Change ScienceCyclonePhysicsBayesian statisticsCatastrophe ModelingScientific ComputingLaTeXNumerical AnalysisUncertainty Quantification

About

Experienced data science, applied statistics, and engineering leader, team builder, mentor, and teacher, with successful stints in tech, re/insurance, and academe. HBR: Want Your Company to Get Better at Experimentation? (2025) https://hbr.org/2025/01/want-your-company-to-get-better-at-experimentation?ab=HP-magazine-text-2 HBR: Avoid the Pitfalls of A/B Testing (2020) https://hbr.org/2020/03/avoid-the-pitfalls-of-a-b-testing Seven Part Blog Series on Experimentation at Netflix: https://netflixtechblog.com/netflix-a-culture-of-learning-394bc7d0f94c

Experience

16 yrs 8 mos
Total Experience
2 yrs 5 mos
Average Tenure
2 yrs 3 mos
Current Experience

Microsoft

Head of Experimentation, Windows

Feb 2025Present · 1 yr 4 mos

  • Building out the platform, practice, and culture of experimentation at Windows.
ExperimentationData Science

Eppo

Advisor

Mar 2024Present · 2 yrs 3 mos

  • A/B testing is everywhere. Get Eppo and Outperform.
A/B TestingData Analysis

Netflix

3 roles

Head of the Experimentation Platform Analysis Team

Dec 2019Jan 2025 · 5 yrs 1 mo

  • My team of engineers, data scientists, and product managers & designers develops and supports core methods and infrastructure for test analysis and decision making at Netflix. We own both the front-end reporting platform that surfaces high-level summaries of all A/B tests at Netflix, as well as the flexible developer experience through which data scientists define metrics, measurement models, and visualizations in support of their tests. It’s a multidisciplinary team that combines product management, methodological research, scalable statistical computation, and engineering in support of a common mission: develop great experimentation products so our colleagues can rapidly innovate on the Netflix experience .
ExperimentationStatistical Analysis

Leading Product Experimentation Research

Promoted

Dec 2018Dec 2019 · 1 yr

  • Led a team focussed on researching and developing advanced experimentation methods in support of Netflix Product innovations.
ExperimentationResearch

Data Science Manager - Streaming Video & Studio Production Experimentation

Mar 2017Dec 2018 · 1 yr 9 mos

  • Led experimentation and statistical modeling efforts to optimize the streaming experience for Netflix members around the globe. My team had both operational (run and analyze tests) and research, development, and implementation responsibilities.
Statistical ModelingExperimentation

Iag

Reinsurance Technical Claims Consultant

Jun 2017Dec 2017 · 6 mos · Greater Sydney Area

  • - Technical consultant on the on-going reinsurance settlement of the 2010-2011 Christchurch Earthquake Sequence.
Statistical AnalysisReinsurance

Penn state university

2 roles

Adjuct Assistant Professor, Department of Meteorology

Jun 2015Sep 2018 · 3 yrs 3 mos

  • - Ongoing research and graduate student committee involvement.
ResearchTeaching

Assistant Professor, Departments of Meteorology and Statistics

Jul 2013May 2015 · 1 yr 10 mos

  • Led an internationally recognized research program in statistical climatology. Much of my work made use of hierarchical statistical models and Bayesian inference
  • Google scholar page: goo.gl/FukV7z
  • Led large-scale research collaborations; mentored and supervised the work of graduate and undergraduate students; developed and taught courses at the undergraduate and graduate levels.
Statistical ClimatologyResearch

Iag

Principal Statistician -- Natural Perils

Jun 2015Feb 2017 · 1 yr 8 mos · Sydney, Australia

  • Led applied statistical work in the natural perils and reinsurance teams.
  • Between contractors and full time employees, managed/supervised the work of up to eight people.
  • Led the development and implementation of predictive models for the multi-billion dollar Christchurch Earthquake reinsurance settlement. Explained and defended this model to executives and actuaries from external reinsurers.
  • Led major, cross-team efforts to develop new pricing strategies for natural perils risk, including cyclone, bushfire, and severe storm.
Statistical ModelingReinsurance

Harvard university

3 roles

Research Associate

Sep 2011Jul 2013 · 1 yr 10 mos

Visiting Scholar

Sep 2009May 2015 · 5 yrs 8 mos

  • Developed and led large-scale research collaborations on statistical climatology.
  • Mentored numerous graduate students.
ResearchCollaboration

Postdoctoral Fellow

May 2009Jul 2009 · 2 mos

National center for atmospheric research

Postdoctoral Fellow

Sep 2010Aug 2011 · 11 mos · Boulder, Colorado

Statistical and applied mathematical sciences institute

Postdoctoral Fellow

Sep 2009Aug 2010 · 11 mos · Durham, North Carolina

Education

Harvard University

Ph.D — Earth and Planetary Sciences

Jan 2003Jan 2009

Harvard University

M.A — Statistics

Jan 2003Jan 2006

University of Toronto - University College

Honours B.Sc. with High Distinction & James Loudon Gold Medal — Physics

Jan 1999Jan 2003

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