Scott Oddo, Phd

Scott Oddo, Phd Email and Phone Number

Director, Data Scientist and Analytics
Scott Oddo, Phd's Location
Boston, Massachusetts, United States, United States
Scott Oddo, Phd's Contact Details

Scott Oddo, Phd work email

Scott Oddo, Phd personal email

n/a
About Scott Oddo, Phd

The one thing in common among my work experiences has been the ability to understand the business needs of the company and the technical challenges of the problem at hand to develop a practical solution that works well and gets to market in a timely fashion.In addition to this I build strong relationships with the people that work for me and with me. As a result I have a network of some of the best technical people in New England to draw from whenever I start a new job.Currently, I am the director of analytics for web hosting brands at Endurance International. leading a team of data scientists and data engineers pulling together data across the enterprise to derive insights to improve the product and increase sales and lifetime value. Previously, I was the VP of Science at matchmine where I helped refine an existing recommendation system to make it flexible enough to meet the needs of a wide range of partners (movies, music, videos, blogs and podcasts). This was not a collaborative filtering approach but one that focused on understanding the content of the items and the interests of the users. It required gathering data from many sources, analyzing it, and understanding user behaviors.The work at matchmine was similar in many ways to work I did at Predictive Networks/Predictive Media. I was with Predictive from beginning to end and helped design an ad targeting system that had 2 million users at its peak, delivered over a billion ads, and had zero down time and zero complaints and in controlled studies was shown to deliver CTR 4-5 times higher than the industry average. Also at Predictive I helped develop a recommendation system for TV and movie viewing that was used to integrate VOD offerings into a unified experience for users. The IP from that venture is currently owned by a holding company for Comcast.I am looking forward to my next opportunity to lead a technical team tasked with solving interesting problems.Specialties: algorithm development, recommendations systems, targeted advertising

Scott Oddo, Phd's Current Company Details

Director, Data Scientist and Analytics
Scott Oddo, Phd Work Experience Details
  • Aura
    Principal Data Scientist
    Aura Oct 2022 - Dec 2023
    Boston, Massachusetts, United States
    Identified most used features and their impact on first-renewal rates to improve user experience and longevity. Created LTV models for new product offerings, segmented customers using RFM analysis and clustered users based on feature usage and mapped it to enrollment data using data science tools such as Decision Trees, Random Forest and XGBoost, to predict feature usage at time of enrollment.
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  • Newfold Digital
    Director Of Analytics
    Newfold Digital Feb 2021 - Oct 2022
    Burlington, Ma
    In 2021, Endurance was merged with Web.com to form Newfold Digital. I continued to manage a diverse team of AI/data scientists and engineers that helped the company move from multiple data sources (AWS, Snowflake) to just using Oracle, while continuing to meet the analytical needs of business stakeholders for reporting and insights. Maintained the effectiveness and morale of the team despite the loss of key personnel to the merger while integrating new team members from Web.com.
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  • Endurance International Group
    Director Of Analytics
    Endurance International Group Aug 2019 - Feb 2021
    Burlington, Ma
    Manager of a diverse 7 person team of data analysts, data scientists and data engineers that developed an AI model to predict churn that was used for marketing outreach that reduced customer churn and helped the company move data from AWS into Snowflake. Helped the team navigate to fully remote work during the pandemic, maintaining morale and work output without losing a single team member. Responsibilities included automating existing reports and making them available through visualization tools such as Tableau, designing and evaluating marketing campaigns and customer service outreach programs and designing AI/data science models for customer segmentation, customer LTV, survival curves and price elasticity. Work with stakeholders to set the direction of long term data efforts to create a data ecosystem that can sustain and contribute to the growth of the business.
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  • Endurance International Group
    Data Science Manager
    Endurance International Group Dec 2017 - Aug 2019
    Burlington, Massachusetts
    Managed two person team of data scientists that worked on solving many of the data issues across the Enterprise, such as a lack of a universal id and data in disparate sources hindering the ability to do analysis across brands. Pulled as many sources as possible into Hadoop and did AI/data science models on customer segmentation, product recommendations and behavior analysis to identify pain points of customers for website builder tool
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  • Endurance International Group
    Senior Data Scientist
    Endurance International Group Dec 2016 - Dec 2017
    Burlington, Ma
    Created an AI/data science product recommendation system based on prior purchase history of users. Used data science to cluster customers based on product purchase and usage to identify 5 key segments of customers. Correlated the food preferences of Single Platform customers to predict what new types of food to recommend
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  • Constant Contact
    Data Scientist
    Constant Contact Apr 2013 - Dec 2016
    Waltham, Ma
    Worked on the Big Data data science team using Hadoop to analyze data across several sources of data. Use data science to generate cross sell leads to improve add-on sales. Created an AI/data science model to predict the best time for our clients to send emails to their customers. Developed NLP based algorithm to determine the most effective keywords in email subject lines. Generated automated yearly reports identifying clients most valuable customers and most effective campaigns.
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  • Fast Strike Games
    Founder And Ceo
    Fast Strike Games Jun 2012 - Nov 2016
    Quincy, Massachusetts
    Developed fantasy sports games for state lotteries. Responsible for creating proprietary AI/data science algorithms for designing jackpot games that would have large payouts and high profit margin for the lottery. The AI/data science algorithms minimized the risk of losing money while ensuring that the jackpot would be won often enough to keep players interested and can be applied to any sport that has a reasonable number of statistical categories.
  • Nokia
    Head Of Relevance
    Nokia Apr 2009 - Feb 2012
    Responsible for running Nokia's application store (Ovi). Revamped system from a very unscalable, one size fits all store to a dynamic store that was different for each of the 20,000 country and device combinations. By refreshing the storefront daily with content specific to the device and location we were able to grow the store from 1 million downloads a day to 10 million downloads a day in 18 months. Designed a tool to allow us to program 20,000 versions of the store in a scalable way while accommodating editorial programming, sponsored placements and recommendations and was awarded a patent for the design of the tool. I was in put in charge of complete end-to-end development of this product for managing the store. I managed a group of 20 people comprised of software engineers, QA engineers, data engineers, UX designers spread across teams in Burlington, MA, Westchester, NY and Manhattan. The product was delivered on-time and on-budget.
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  • Matchmine
    Vice President Of Science
    Matchmine Aug 2007 - Oct 2008
    Developed a scalable, AI powered, media discovery network for delivering targeted advertising and recommendations based on users’ media preferences. Managed a 5 person team of data scientists and data engineers, as well as project teams consisting of software engineers, dbas and QA to develop AI/data science algorithms and systems for analyzing content and user behaviors and targeting media to users based on their interests. Algorithms combined many different techniques including AI/machine learning, data science, standard statistics and NLP. The AI/data science product generated recommendations for a variety of media types: music, movies, video, podcasts, and blogs.
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  • American Biophysics
    Senior Vice President Of Engineering
    American Biophysics Nov 2005 - Jan 2007
    Responsible for Engineering, Quality Assurance, and Consumer Safety. Oversaw development of first networked system of baited insect traps using the Zigbee wireless protocol; a low power, low bandwidth solution that relayed information about the status of the traps. Development included the addition of several sensors to the traps, the development of a gateway appliance to relay information over the Internet and a back end system (server, database and GUIs) to process data and present it to the users and service personnel through a web browser. Revamped Engineering and QA process which resulted in a significant improvement in the quality of our traps.
  • Mitre
    Lead Database Engineer
    Mitre Jul 2004 - Sep 2005
    Executive Committee member for ARDA’s (Advanced Research and Development Activity Project) VACE (Video analysis and content extraction) project. Oversaw MITRE team responsible for technical readiness assessment of software produced by contractors for VACE. Role involved coordinating delivery of video software from contractors, conducting tests of the software and algorithms, providing feedback to the contractors and advising the VACE panel. The software performed various functions (detection, identification, tracking) based on the latest AI algorithms developed by universities and government contractors. Project manager overseeing technical team developing an information technology system for sharing sensitive information between government agencies involved in border patrol. Dealt with issues of sharing information between local and federal authorities to improve security while preserving privacy.
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  • Predictive Media
    Chief Technology Officer
    Predictive Media Jun 1999 - Jun 2004
    Oversaw 15 person R+D team. General responsibilities included working with Marketing and Engineering to develop research plans for the development of new AI/data science technologies and improvements to core technologies. Worked closely with the VP of Marketing to identify new potential business partners. Drafted proposals for new business ventures with potential partners including schedules and budget. Oversaw the development and growth of our intellectual property portfolio. Represented the company at public functions, conferences and media interviews. Developed an AI/data science system to generate psychographic profiles of users based on their surfing habits and to predict which advertisements users would best respond to based on their profiles. The scalable AI/data science system was deployed to over 2 million users through partners such as AT&T WorldNet. The targeted system achieved click-through rates that were 4-5 times the industry average.
  • Immunetics
    Software Engineer
    Immunetics 1998 - 1999
    Developed an AI image processing system to automatically read the results of western immunoblot assays for HIV and Lyme disease and make the correct diagnosis. The AI system was more accurate than existing human based diagnosis. Was awarded an NIH grant for the development of the algorithm.

Scott Oddo, Phd Skills

Machine Learning Algorithms Data Mining Start Ups Artificial Intelligence Analysis Software Development Mobile Applications Neural Networks Pattern Recognition Scalability Programming Agile Methodologies Computational Neuroscience Distributed Systems Software Engineering Databases System Architecture Image Processing Integration Hadoop Computer Science User Experience Analytics Mobile Devices Big Data Software Design Predictive Analytics Mathematical Modeling Mapreduce Data Visualization Eclipse Signal Processing Linux Optimization Simulations R&d C Statistics Information Retrieval Natural Language Processing Matlab C++ Object Oriented Design Subversion

Scott Oddo, Phd Education Details

Frequently Asked Questions about Scott Oddo, Phd

What is Scott Oddo, Phd's role at the current company?

Scott Oddo, Phd's current role is Director, Data Scientist and Analytics.

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What is Scott Oddo, Phd's direct phone number?

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What schools did Scott Oddo, Phd attend?

Scott Oddo, Phd attended Boston University, Tufts University.

What skills is Scott Oddo, Phd known for?

Scott Oddo, Phd has skills like Machine Learning, Algorithms, Data Mining, Start Ups, Artificial Intelligence, Analysis, Software Development, Mobile Applications, Neural Networks, Pattern Recognition, Scalability, Programming.

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