Data Scientist

Position overviewThis position reports to the Director of Data Science; it will help to continue pushing forward the underlying models and data sets that create the AU, and work closely with product and client services team members to develop new data products and methodologies in support of all areas of the business.In this role, you will be joining a team of other data scientists and data engineers, and work with people across the organization to shape Adelaide’s data into a clear and concise story. You’ll be responsible for working with hundreds of millions of data points a day, quickly iterating on optimization methods that further advertising effectiveness and fuel the world’s first attention-based optimization platform. Day-to-day activities range from identifying and exploring new data sources, to training new models and iterating on existing models, to improving our codebase and pipelines. This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office. What you'll learnAn important part of our culture is continuous learning and the open sharing of ideas. We offer:Access to a broad network of investors and advisors who can help you and your team succeedMentorship from executives with decades of experience in adtech and mediaRegular internal knowledge-sharing sessionsAn education budget to support ongoing professional growth and developmentIn this role you'll learn:Gain a deep understanding of attention metrics and media quality measurementComplex user interaction patterns and ML solutions to account for specialized data setsMethods for processing and deriving insights from massive amounts of user experience signalsBest practices and collaborative product development in a fast-paced collaborative environmentCore responsibilitiesInterpret raw data and form compelling narratives to draw meaningful insights that communicate our story and missionWork with our Data Science team, as well as Product and Client Services, to shape Adelaide’s data into a clear and concise storyHelp to formulate, develop, and optimize models in productionHelp to support and augment our machine learning system to aid advertisers in buying efficient mediaSupport client management teams with data-driven insights based on millions of behavioral data points each dayWork with the engineering team to build efficient and robust data pipelinesHelp direct experimental studies aimed at understanding advertising value across multiple channels and media environmentsWhat you'll bringPython proficiency and experience with data pipelines and modelingSQL for extracting data from cloud databasesUnderstanding of Classic ML algorithms: logistic regression, linear regression, RandomForests/XGBoost, clustering methods, and dimensionality reduction (e.g., PCA)Ability to investigate and analyze model performanceRoot-cause analysis skills for debugging dataset issuesComfort explaining technical concepts to non-technical stakeholdersBachelor's degree in a quantitative discipline or equivalent professional experienceWhat will set you apartExperience shipping work to productionCloud platform experience (AWS, GCP, Azure)Familiarity with AWS environmentsAd-tech or marketing backgroundExperience with Looker or similar BI toolsAdvanced degree (Master's or PhD) in a quantitative fieldIntellectual curiosity and the ability to move fast while maintaining rigorBenefitsHealth & WellnessMedical, dental, and vision insurance Paid time offParental leaveEmployee development & wellness stipend Holiday breakVolunteer time offFinancial & CompensationCompetitive salaryPerformance-based quarterly bonusStock options401(k) retirement plan Workplace & EquipmentRemote-first environmentNew York office access Access to available WeWork spaces Equal Employment Opportunity (EEO) StatementAdelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.

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