Join our team at ASAPP, where we're developing transformative Vertical AI designed to improve customer experience. Recognized by Forbes AI 50, ASAPP designs generative AI solutions that transform the customer engagement practices of Fortune 500 companies. With our automation and simplified work processes, we empower people to reach their full potential and create exceptional experiences for everyone involved. Work with our team of talented researchers, engineers, scientists, and specialists to help solve some of the biggest and most complex problems the world is facing. In this role, you will apply techniques from machine learning and modern statistics to data from ASAPP products and our customers. You will identify questions,and develop and apply approaches to solve problems that are central to our product and our customers. If you love an environment of deep thinking, impactful research, startup-paced execution, and strong collaboration with all parts of an organization, ASAPP is an ideal environment for you. What you'll doUse modeling to develop a deep understanding of how our product provides value to our customers, and to identify and quantify opportunities for creating additional valueCollaborate with Product and Tech teams to evaluate the effectiveness of current features, and identify new opportunitiesWork with a broader team of researchers, engineers, product managers, and customer-facing groupsDevelop experimental designs to answer questions, and perform analysis of the resultsApply causal inference approaches to maximize the data we have on handWhat you'll need Ability to present data science results and recommendations to cross-functional teamsExpertise in modern statistics/data science/machine learningExpertise in a statistical programming language (we use Python and R internally) and data access tools (e.g., SQL)What we'd like to seeExperience with machine learning (e.g. xgboost, generalized linear models, additive models, clustering, factorization machines, etc), deep learning (PyTorch a plus), statistics (experimental design, estimation, testing), and LLMsExperience with Probabilistic Programming Languages (PPL) like Stan and PyroGraduate Degree with a background in statistics and machine learning, and/or applied social sciences or equivalent work experienceAbility to maintain a fun, casual, professional, and productive team atmosphereCommunication in a courteous, tactful, and concise mannerEnthusiasm and desire to thrive in an atmosphere of constant changeBenefitsCompetitive compensationStock optionsHealthcare for the family groupWellness perksMac equipmentLearning & development stipend3 weeks of vacationEnglish lessonsASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at ****** to obtain assistance. #LI-AG1 #LI-Remote
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