Christie Marsh, Phd Email & Phone Number

San Francisco, Ca, Us

✪ Core Responsibilities ✪◆ Lead innovative research in generative AI, machine learning, computer vision, and more, enhancing the mobile gaming industry with immersive, engaging experiences.◆ Manage a team of two Data Scientists, transitioning the data team from centralized to an embedded structure for improved efficiency and collaboration.✪ Key Accomplishments ✪◆ Successfully restructured the data team, supporting the new Platform team lead in Data Engineering and maintaining productive collaboration with now embedded Product Scientists.◆ Achieved a 282% increase in in-app purchase revenue and a 7% rise in total revenue through Price Point Optimization.◆ Enhanced user retention (10%-32% increase by day 7) and revenue (5%-19% increase by day 14) via Interstitial Cooldown & Unlock Level Optimization.◆ Developed a new metric for Dynamic Difficulty, significantly improving level outcome predictions and currently implementing for personalized level difficulty, optimizing the revenue and retention balance.

San Francisco, Ca, Us

✪ Core Responsibilities ✪◆ Oversee Data Science, Product Science & BI, and Data Engineering teams, with 3 direct and 6 indirect reports.◆ Enhance team processes, communication, and tools for effective collaboration.◆ Align team goals with Lion Studios' objectives and integrate data with product development for organizational success.✪ Key Accomplishments ✪◆ Expanded the Data Team from 3 to 9 members, fostering a culture of trust, transparency, and empowerment.◆ Implemented Looker across six business units, increasing usage by 76%, cutting infrastructure costs by 54%, and boosting analytics and Data Science productivity.◆ Shifted to a data-driven decision-making model, optimizing data resource use.◆ Developed quarterly planning, automated request processes, and project management workflows, enhancing stakeholder trust and operational clarity.◆ Identified and executed cost-saving measures in event tracking, reducing costs by 10% to 70%.◆ Standardized event tracking across 47 titles, achieving a 522% increase in adoption.Improved engagement, retention, and monetization for supported game titles by 16% to 75% through data-driven strategies and analysis.

San Francisco, California, Us

✪ Core Responsibilities ✪◆ Collaborate with the Director of Core Product on experiments to explore user experiences and behaviors, guiding product development.◆ Work with cross-functional teams on qualitative research with volunteer users.◆ Analyze user purchasing patterns from financial accounts for consumer credit card product design and marketing strategy.✪ Key Accomplishments ✪◆ Executed a Streak Gamification experiment using push notifications and in-app messaging, increasing user streaks and reward claims by 20% and 16%, showcasing potential for future development.◆ Conducted a targeted survey of engaged users, obtaining critical insights into credit card usage and spending habits, instrumental in shaping a new credit card product.◆ Performed financial analysis of user spending behaviors, providing essential data for the foundational design of the credit card product.

New York, Ny, Us

✪ Core Responsibilities ✪◆ Managed data science projects and a team of one direct report and one seasonal intern, interfacing with department leads to enhance user experiences and revenue across BabyCenter and WhatToExpect platforms.◆ Collaborated with Growth and Marketing teams for optimized user acquisition and ROI.◆ Provided comprehensive support in algorithm development, pipeline creation, project management, and team mentoring.◆ Communicated project progress and ensured alignment with business objectives.✪ Key Accomplishments ✪◆ Implemented a Data Science Product Performance Monitoring system with Shiny, reducing lost page views by 14%.◆ Gained buy-in for a recommendation algorithm that doubled click-through rates to 5%.◆ Increased unrecognized website traffic with confident stage week predictions from 15% to 30% for targeted ads, boosting revenue by 3% to 20% across three domains.◆ Developed an NLP classification model for abusive content detection, improving community engagement by 22%, reducing harassment reports by 45%, and saving moderator time.◆ Enhanced SEO strategies, resulting in a 40% increase in organic traffic.◆ Improved content recommender reach by 6% and CTR by 1% on authored content, and by 7% on topic pages.◆ Boosted email CTR by 6.5% and open rate by 1% through a stage-based content recommender.

Dallas, Tx, Us

✪ Core Responsibilities ✪◆ Developed strategic, data-driven roadmaps in collaboration with producers and game designers to enhance game features.◆ Engineered and implemented advanced machine learning models and AI algorithms, focusing on player behavior, user experience optimization, fraud detection, and competitive performance.✪ Key Accomplishments ✪◆ Overhauled the AB test design and analysis process, reducing ambiguous outcomes by at least 75%, leading to improved product design and user experience.◆ Reduced churn by 0.5% and increased monthly revenue by $10,000 using a decision tree model for targeted player retention.◆ Developed a deep, reinforcement learning AI for a PvP mobile game, achieving a 90% win rate against new players with strategically under-powered deck composition.

✪ Teaching Assistant ⋆ University of Waterloo ⋆ 09/2010 - 12/2015✪ Tae Kwon Do Instructor ⋆ University of Waterloo ⋆ 09/2011 - 12/2014✪ Research Assistant ⋆ University of Waterloo ⋆ 09/2011 - 12/2014✪ Special Adjunct Lecturer ⋆ University of Waterloo ⋆ 09/2011 - 12/2011✪ Integration Specialist ⋆ CAE Inc. ⋆ 08/2008 - 12/2009✪ Interior Completions Engineer ⋆ Bombardier Aerospace ⋆ 06/2007 - 08/2008

Doctor Of Philosophy (Ph.D.), Cognitive Neuroscience

Master Of Arts (M.A.), Cognitive Psychology

B.Eng., Aerospace Engineering