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Jennifer M. Wang, Ph.D. Email & Phone Number

Senior Data Scientist at Fieldwork Partners
Location: San Francisco Bay Area, United States, United States 17 work roles 4 schools
1 work email found @tc.columbia.edu 4 phones found area 714 and 213 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 4 phones

Work email j****@tc.columbia.edu
Direct phone (714) ***-****
LinkedIn Profile matched
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Current company
Role
Senior Data Scientist
Location
San Francisco Bay Area, United States, United States
Company size

Who is Jennifer M. Wang, Ph.D.? Overview

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Quick answer

Jennifer M. Wang, Ph.D. is listed as Senior Data Scientist at Fieldwork Partners, a company with 4 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at tc.columbia.edu, phone signal with area code 714, 213, and a matched LinkedIn profile for Jennifer M. Wang, Ph.D..

Jennifer M. Wang, Ph.D. previously worked as Senior Data Science Consultant at Fieldwork Partners and Technical Advisor at Formosa Light Technology. Jennifer M. Wang, Ph.D. holds Postdoctoral Research from Columbia University.

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Email format at Fieldwork Partners

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*@tc.columbia.edu
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Profile bio

About Jennifer M. Wang, Ph.D.

I am currently *NOT* interested in contract-to-hire or 1099 positions— thanks so much for your interest! 🙏🏻🤓 ABOUT ME: Product Data Scientist with 10+ years of experience in statistics, experimentation design, product analytics, UX research, and full-stack technical product leadership. I am results-driven with a track record of designing, building, and leading complex data products and programs end-to-end, delivering clear, impactful, and actionable insights to diverse cross-functional stakeholders. I LOVE 🖤 using data + statistics 📊 to tell compelling stories, and translating messy data into clear, actionable insights for all audiences is one of my greatest passions. I particularly enjoy leveraging data and synthesizing information across disparate fields to effectively solve thorny business problems with creative solutions.Many people have BIG IDEAS 💡 — I firmly believe that the key to transforming big, abstract ideas into concrete actions and tangible results lies in effective execution, strategic and data-informed decision-making, and strong peer collaboration. I pride myself on being able to combine creative strategy with hands-on execution and team leadership to help organizations reach sustainable, meaningful impact 🔥.As an insatiably CURIOUS individual 🧐, I thrive in highly driven, data-centered, and results-oriented environments where fairness, self-awareness, strong peer collaboration, and thoughtful decision-making are core values that drive organizational success. I am particularly drawn to organizations and teams that strive to thoughtfully balance high rigor and high quality with speed and scalability. If you've read this far and this sounds like your jam 🤘🏻, feel free to connect with me: • GitHub: http://www.github.com/wangjenn• Google Scholar: https://scholar.google.com/citations?user=F3Rz0f0AAAAJ&hl=en🗣 Bilingual in English (native) and Mandarin (read + write + speak)📚 Podcast Host: New Books Network

Current workplace

Jennifer M. Wang, Ph.D.'s current company

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Fieldwork Partners
Fieldwork Partners
Senior Data Scientist
California, United States
Employees
4
AeroLeads page
17 roles · 12 years

Jennifer M. Wang, Ph.D. work experience

A career timeline built from the work history available for this profile.

Senior Data Science Consultant

Current

San Francisco, California, US

  • Provide end-to-end consulting on various data science and machine learning projects, specializing in optimizing ground truth data for training high-performing artificial intelligence models deployed in real-world.
Oct 2022 - Present

Podcast Host

Northampton, Massachusetts, US

The New Books Network is a consortium of author-interview podcast channels dedicated to raising the level of public discourse via new media.

2014 - 2024 ~10 yrs

Senior Data Scientist

Cambridge, MA, US

Books x Data x Tech

Mar 2022 - Sep 2022

Quantitative Lead, Product

San Francisco, CA, US

Hopelab is a social innovation lab and nonprofit design firm that aims to create behavioral-change technology to help teens and young adults live happier, healthier lives.

Nov 2019 - Nov 2020

Technical Product Manager (Pmt), Machine Learning Infrastructure Engineering

San Francisco, California, US

My team built scalable data products and pipelines to transform raw visual imagery and auditory data into machine-understandable knowledge. Specifically, we built the internal machine learning infrastructure and tooling to effectively and efficiently label, train, and validate data models for Cruise's autonomous self-driving cars.

Nov 2018 - May 2019

Senior Data Analytics Manager, Machine Learning & Data Science

Palo Alto, California, US

  • As part of the Machine Learning and Data Science team, my role as a Senior Data Analytics and Data Product Manager combines the traditional roles of a Data Scientist, full-stack Technical Product Manager, and People.
  • Promoted within 6 months for driving initiatives that led to successful Series B funding.
  • Developed, designed, and led the end-to-end product development pipeline and tools for generating > 1 TB human-labeled imagery data, scaling the product infrastructure capacity by 10x and increasing the onboarding and.
  • Led and deployed full-stack software solutions for internal products and features, leading to 20x improvement in efficiency and 10x improvement in engagement between Sales and external customers.
  • Designed and implemented statistical models and machine learning algorithms (e.g., hypothesis testing, stratified sampling, cohort analysis, regression) to ensure optimal data throughput and data quality.
  • Directed and managed an internal team of 13 direct reports and an external team of 300+ QA contractors.
Jul 2017 - Nov 2018

Data Science Fellow

San Francisco, CA, US

  • The Insight Data Science Fellows Program is a highly competitive and intensive post-doctoral training fellowship (acceptance rate: 2.5-3%) that bridges the gap between academia and data science.
  • Designed, developed, and deployed an interactive music recommendation web application (MusiPy) based on user’s unique personality and behavior through a hybrid model of content-based filtering and.
  • Analyzed over 200,000 data points with k-Nearest-Neighbors and cosine similarities.
Jan 2017 - Apr 2017

User Research And Data Insights Manager

New York, NY, US

  • Spearheaded the company’s first user research initiatives using quantitative and qualitative methods.
  • Implemented research-based methods to drive participant recruitment and participation, increasing survey open rates by 170% and response rates by 2,500%.
  • Mined and analyzed > 1 million user data with statistical analysis and machine learning techniques using SQL and Python.
  • Used rigorous empirical methodology to ensure reliability, validity, and generalizability of research samples.
  • Worked cross-functionally with product, design, marketing, content, sales, and engineering teams to establish research goals, define key success metrics, and track user growth and engagement.
  • Translated complex data into actionable insights and communicate results through multiple channels, including roundtable discussions, PowerPoint presentations, and Weekly User Insights Newsletter.
Nov 2015 - May 2016

Senior Research Scientist

New York, NY, US

  • Analyzed large-scale longitudinal research data with advanced statistical methods (e.g., structural equation modeling) to advance policy, improve practice, and raise public awareness on social issues affecting the.
  • Provided consulting for research methodology, statistical analysis, and project impact evaluation.
  • Produced, published, and promoted research findings in peer-reviewed journals and conferences.
  • Established and facilitated relationships with national and international organizations and leaders to increase collaborations and disseminate research findings.
Jun 2014 - Sep 2015

Director Of Product Development, Robotics Education

New York, NY, US

  • Grand Prize Winners - IBM Watson Mobile Developer Challenge.
  • Time Magazine’s "Best Invention of 2015.”
  • Designed, developed, and evaluated product content, KPIs, and product performance metrics end-to-end for implementing artificial intelligence in educational products and technologies.
  • Recruited and managed 15 direct reports for content creation, product marketing, and performance evaluation.
  • Collaborated with software engineers to design, test, implement, and deploy internal infrastructure models and tools for automating and optimizing workforce allocation.
Jun 2014 - Aug 2015

Senior Research Scientist And Statistician

College Park, MD, US

  • Trained, supervised, and mentored 27 research assistants on multiple grant-funded research projects.
  • Designed survey questionnaires, experimental studies, and behavioral coding schemes.
  • Analyzed complex data with advanced statistical methods (e.g., autoregressive cross-lagged path models).
  • Awarded grant from the National Science Foundation (NSF) to independently design and direct research projects on youth’s social relationships in the U.S.A. and China, including designing surveys and questionnaires.
  • Provided consulting and guidance on research design, statistical analysis, and best measurement practices.
  • Led training workshops on data collection, psychometrics, statistical methodology, and research evaluation.
Jun 2008 - May 2014

Instructor, Human Development And Quantitative Methodology

College Park, MD, US

  • Developed curriculum for 2 introductory human development courses for undergraduate students
  • Utilized media platforms and technological tools (e.g., Twitter, YouTube) to engage student learning
  • Consulted with software developers, university professors, and publishing companies to implement a web-based simulation program (Virtual Child) that allows students to raise a child from birth to age 18 online
Aug 2011 - Aug 2013

Nsf East Asia Summer Institute (Eapsi) Graduate Research Fellow, Science And Engineering

Alexandria, VA, US

National Science Foundation's EAPSI fellowship provides competitive U.S. graduate students in Science and Engineering with research experiences at internationally recognized research laboratories across Australia, China, Japan, Korea, New Zealand, Singapore, or Taiwan.Through this fully-funded award and highly selective fellowship, I was able to conduct.

Jun 2011 - Aug 2011

Undergraduate Summer Research Fellow

Minneapolis And St. Paul, Minnesota, US

Awarded full funding from the National Science Foundation to conduct independent research.

Jun 2007 - Aug 2007
4 education records

Jennifer M. Wang, Ph.D. education

Postdoctoral Research

Columbia University

Doctor Of Philosophy (Ph.D.), Human Development And Quantitative Methodology (Minor: Statistics)

University Of Maryland

Bachelor Of Arts - Ba, Psychology (Honors, Summa Cum Laude)

University Of Southern California

Bachelor Of Arts - Ba, Communication (Honors, Summa Cum Laude)

Usc Annenberg School For Communication And Journalism
FAQ

Frequently asked questions about Jennifer M. Wang, Ph.D.

Quick answers generated from the profile data available on this page.

What company does Jennifer M. Wang, Ph.D. work for?

Jennifer M. Wang, Ph.D. works for Fieldwork Partners.

What is Jennifer M. Wang, Ph.D.'s role at Fieldwork Partners?

Jennifer M. Wang, Ph.D. is listed as Senior Data Scientist at Fieldwork Partners.

What is Jennifer M. Wang, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @tc.columbia.edu for Jennifer M. Wang, Ph.D. at Fieldwork Partners.

What is Jennifer M. Wang, Ph.D.'s phone number?

AeroLeads has found 4 phone signal(s) with area code 714, 213 for Jennifer M. Wang, Ph.D. at Fieldwork Partners.

Where is Jennifer M. Wang, Ph.D. based?

Jennifer M. Wang, Ph.D. is based in San Francisco Bay Area, United States, United States while working with Fieldwork Partners.

What companies has Jennifer M. Wang, Ph.D. worked for?

Jennifer M. Wang, Ph.D. has worked for Fieldwork Partners, Formosa Light Technology, New Books Network, Bookbub, and Hopelab.

How can I contact Jennifer M. Wang, Ph.D.?

You can use AeroLeads to view verified contact signals for Jennifer M. Wang, Ph.D. at Fieldwork Partners, including work email, phone, and LinkedIn data when available.

What schools did Jennifer M. Wang, Ph.D. attend?

Jennifer M. Wang, Ph.D. holds Postdoctoral Research from Columbia University.

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