Jeff C. Ho

Jeff C. Ho Email and Phone Number

Senior Product Manager, Data @ Indeed @ Indeed
Jeff C. Ho's Location
Brooklyn, New York, United States, United States
Jeff C. Ho's Contact Details
About Jeff C. Ho

Senior Data Science and Product Management leader working with data-driven ML products in HR tech, advertising and geospatial analytics.EXPERIENCE- Senior Product Manager, Data @ Indeed.comSets and executes strategy for measuring who gets hired on Indeed, spearheading novel data collection efforts and using the data to build and deploy models across Indeed surfaces, leading a team of 12 Data Scientists, Engineers and APMs- Senior Product Manager (Data), SafeGraph (Series B startup)Orchestrated the development and launch of a geospatial big data product built with Spark and a ML model pipeline, generating the first product revenue in 3 months, with a team of 4 Engineers and 3 Product Data Analysts- Data Science Manager, Known GlobalOptimized advertising performance for brands while developing custom pipelines for data ingestion, model training, and batch transformation, building the first company MVP for predictive real-time bidding in programmatic advertising auctions- Director of Science and Product, Floodbase (small startup)Led the ideation, technical development, and launch of two data dashboard products for governments to visualize disaster risk maps based on satellite imagery, growing product revenue 5-fold to >$500,000SKILLS- Programming Languages: Python, SQL, bash, Scala JavaScript, R, Matlab- Tools: Spark, Pandas, Scikit-learn, AWS, SageMaker, LightFM, Streamlit, Google Cloud, Docker- Statistics: Linear/logistic regression, Regularization, Dimensionality Reduction, A/B testing- Machine Learning: CART/XGBoost, LASSO, Ridge, PCA, Collaborative filtering, CNNsEDUCATION- Stanford University 2018PhD, MS, Civil & Environmental EngineeringDeveloped and scaled algorithms for detecting algae using satellite imagery, and used results to understand how climate change affects freshwater resources with machine learning- University of Waterloo 2011BASc, Environmental Engineering

Jeff C. Ho's Current Company Details
Indeed

Indeed

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Senior Product Manager, Data @ Indeed
Website:
indeed.com
Jeff C. Ho Work Experience Details
  • Indeed
    Senior Product Manager - Data
    Indeed Apr 2024 - Present
    Austin, Texas, Us
    - Set and executes strategy for measuring who gets hired on Indeed, spearheading novel data collection efforts collectively adding millions of signals for building new models and products- Develop and deploy hire probability models across different surfaces (Search, Recommendations, Bidding, Experimentation)- Lead team of 12 Data Scientists, Engineers, and APMs, setting product vision and sprint priorities
  • Indeed
    Product Manager - Data
    Indeed Jul 2022 - Apr 2024
    Austin, Texas, Us
  • Safegraph
    Senior Product Manager - Data
    Safegraph Jan 2022 - Jul 2022
    Denver, Colorado, Us
    - Orchestrated a product plan to develop and launch a new data product targeted toward retailers, investors, and OOH advertisers, growing first $200k annual recurring revenue (ARR) in 3 months- Managed the continued operation and optimization of an existing data product with $5MM ARR, the output of a Learning to Rank algorithm built using Spark in Scala and Python- Performed deep technical analyses in PySpark on quality metrics for guiding optimization roadmap- Set priorities for 3 senior ML engineers by synthesizing business need from go-to-market teams- Directly managed 3 data analysts to inform product decisions, QA pipelines, and build dashboards
  • Safegraph
    Product Manager - Data
    Safegraph Apr 2021 - Jan 2022
    Denver, Colorado, Us
  • Known
    Senior Data Scientist
    Known Nov 2020 - Apr 2021
    Manhattan, New York, Us
    - Built an end-to-end machine learning pipeline for collection, training, and deployment to predict real-time bids in programmatic advertising auctions using AWS SageMaker with a custom Docker container - Model pipeline is deployed on a per-client basis and consistently predicts likelihood of conversion with AUC > 0.85 on out-of-sample test data
  • Known
    Data Scientist
    Known Apr 2020 - Oct 2020
    Manhattan, New York, Us
    Focusing on clean brands (i.e., good for environment, health and sustainability), I optimized digital advertising spend/performance for clients looking to reach the right audiences efficiently using data-driven approaches. - Reduced cost per site visit for an online direct-to-consumer brand campaign by 50%, and improved customer acquisition cost for another business-to-business performance campaign by 60%- Designed and implemented A/B tests across multiple ad platforms to generate insights about creative, audience, or targeting strategies, and to measure incremental revenue plus brand lift- Automated campaign reporting using SQLAlchemy in Python, reducing weekly time spent by 80%
  • Insight Data Science
    Data Science Fellow
    Insight Data Science Jan 2020 - Mar 2020
    San Francisco, Ca, Us
    - Helped organic trade associations target advertisements to user segments by predicting likelihood of purchasing organic produce based on past shopping history- Reduced irrelevant ads by 40% by combining product recommendations from collaborative filtering using LightFM with logistic regression with user characteristics using scikit-learn- Visualized purchase likelihoods and recommended products in a web app built using Streamlit and deployed on Amazon EC2
  • Floodbase
    Director Of Science And Product
    Floodbase Jan 2019 - Dec 2019
    New York, Us
    - Led the ideation, technical development, and launch of two disaster analytics data products for government and humanitarian users, growing product revenue 5-fold to >$500,000- Wrote production code in bash for scaling back-end automations using Google Cloud (cron, Pub/Sub) that performed real-time model deployment on satellite imagery in Python- Designed front-end dashboard for delivering insights, guiding front-end developer in Angular- Grew product deployment team from zero to 3 by hiring first three scientists and analysts- Delivered data-driven recommendations that led to the decision for a humanitarian user to relocate 7,000 refugees from a flood-prone area [bit.ly/RefugeeFlooding]
  • Floodbase
    Senior Remote Sensing Scientist
    Floodbase Oct 2018 - Dec 2018
    New York, Us
  • Stanford University
    Phd Researcher
    Stanford University Jan 2013 - Aug 2018
    Stanford, Ca, Us
    • Created a new three-decade data set of algal bloom occurrence in 76 lakes globally from Landsat using the Google Earth Engine Python and JavaScript APIs, exploring worldwide trends and drivers• Developed a novel method for validating remote sensing algorithms used to identify algal blooms• Presented research findings with six oral presentations and two posters at various academic conferences and at a United Nations Workshop on transboundary water cooperationReceived a 2015 Google Earth Engine Research Award for cutting-edge geospatial analysis based on proposed research.Named a 2014 Rising Environmental Leader Fellow by the Stanford University Woods InstitutePublications: Ho, J.C, A.M. Michalak, and N. Pahlevan. (2019). "Widespread global increase in intense lake phytoplankton blooms since the 1980s." Nature. 574(7780): 667-670.Ho, J.C. and A.M. Michalak. (2019). "Exploring temperature and precipitation impacts on harmful algal blooms across continental US lakes." Limnology and Oceanography. 65(5): 992-1009.Ho, J.C. and A.M. Michalak. (2017). "Phytoplankton blooms in Lake Erie impacted by both long-term and springtime phosphorus loading." Journal of Great Lakes Research. 43(3): 221-227Ho, J.C., R.P. Stumpf, T.B. Bridgeman and A.M. Michalak. (2017). "Using Landsat to extend the historical record of lacustrine phytoplankton blooms: A Lake Erie case study." Remote Sensing of Environment. 191: 273-285Ho, J.C., and A.M. Michalak. (2015). “Challenges in tracking harmful algal blooms: A synthesis of evidence from Lake Erie.” Journal of Great Lakes Research. 41(2), 317-325.
  • Stanford University
    Ms Researcher
    Stanford University Sep 2011 - Dec 2012
    Stanford, Ca, Us
    • Developed algorithms for monitoring household water access with digitized walking paths from DigitalGlobe satellite imagery in Africa and Central America using Python in ArcGIS • Analyzed multi-dimensional household survey data on rural water use to compare and contrast different metrics for assessing global water accessPublications:Ho, J.C., K.C. Russel and J. Davis. (2014). “The challenge of global water access monitoring: evaluating straight-line distance versus self-reported travel time among rural households in Mozambique” Journal of Water and Health. 12(1), 173-183.
  • University Of Waterloo
    Undergraduate Research Assistant For Dr. Paul Fieguth
    University Of Waterloo Jan 2011 - Apr 2011
    Waterloo, Ontario, Ca
    • Developed algorithms for dust cloud segmentation in time- and space-varying satellite infrared images over Sub-Saharan Africa, using Otsu’s method in Matlab• Compared and evaluated the effectiveness of nine different methods for differentiating cloudpixels from background pixels, mostly based on the rate of change of the infrared signal
  • Trimble Navigation
    Software Product Tester
    Trimble Navigation Sep 2009 - Dec 2009
    Westminster, Co, Us
    • Developed and executed detailed plans testing integrated GPS technology for environmental problems dealing with mapping and GIS• Conveyed complex product issues succinctly and thoroughly to multi-national development team through the extensive use of oral and written communication• Performed statistical data analyses testing GPS receiver accuracy and reliability• Engaged local universities and businesses in dialog to facilitate educational partnerships

Jeff C. Ho Skills

Arcgis Matlab Simulink Excel Monte Carlo Simulation Data Analysis Sql C# Visual Basic Groundwater Modeling Gps Microsoft Excel Environmental Awareness Water Quality Python Water Water Resources Science Wastewater Treatment Groundwater Environmental Engineering Statistics Environmental Science

Jeff C. Ho Education Details

  • Stanford University
    Stanford University
    Civil And Environmental Engineering
  • Stanford University
    Stanford University
    Civil And Environmental Engineering
  • University Of Waterloo
    University Of Waterloo
    Honours Environmental Engineering With Water Resources Option
  • National University Of Singapore
    National University Of Singapore
    Environmental Engineering

Frequently Asked Questions about Jeff C. Ho

What company does Jeff C. Ho work for?

Jeff C. Ho works for Indeed

What is Jeff C. Ho's role at the current company?

Jeff C. Ho's current role is Senior Product Manager, Data @ Indeed.

What is Jeff C. Ho's email address?

Jeff C. Ho's email address is je****@****ord.edu

What schools did Jeff C. Ho attend?

Jeff C. Ho attended Stanford University, Stanford University, University Of Waterloo, National University Of Singapore.

What are some of Jeff C. Ho's interests?

Jeff C. Ho has interest in Economic Empowerment, Education, Environment, Poverty Alleviation, Disaster And Humanitarian Relief, Human Rights, Animal Welfare, Health.

What skills is Jeff C. Ho known for?

Jeff C. Ho has skills like Arcgis, Matlab, Simulink, Excel, Monte Carlo Simulation, Data Analysis, Sql, C#, Visual Basic, Groundwater Modeling, Gps, Microsoft Excel.

Who are Jeff C. Ho's colleagues?

Jeff C. Ho's colleagues are Adeline M, Mona Schau, Danny Stacy, Donahue Kennedy, Mario Marsilio, Vlad M., Ryan O'halloran.

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