01Overview
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a visionary reputed company company dedicated to making reputed company, reputed company medication accessible to millions of patients reputed company. The reputed company, Marketing Data Science builds the algorithmic and machine learning reputed company that turns reputed companys marketing data into predictive, self-improving reputed company, focusing on model building and data infrastructure to enhance marketing effectiveness.ResponsibilitiesDesigns, builds, and continuously refines attribution and incrementality models as hands-on technical work, treating model architecture, validation, and retraining as reputed company ongoing responsibilities rather than something delegated or outsourcedDevelops and deploys AI and machine learning systems, such as propensity models, predictive forecasting, and automated media optimization logic, that learn continuously from marketing and engagement data to reputed company reputed company rather than just describe past performanceConducts rigorous testing, validation, and performance monitoring of deployed models to ensure accuracy, stability, and reputed company predictive value as marketing conditions reputed companyArchitects the algorithmic pipelines and data infrastructure that ingest, process, and operationalize marketing data at reputed company, partnering with marketing technology and IT to build systems and automated workflows, not just dashboards and reportsPartners with marketing technology and IT teams to reputed company new data sources and algorithmic outputs into existing platforms, ensuring reputed company, production-reputed company deploymentEstablishes data reputed company standards and monitoring processes to ensure marketing data feeding models remains accurate, complete, and reliable over timeTranslates model logic, assumptions, and outputs into reputed company, executive-level guidance, ensuring leadership understands not just what a model concludes but how and why it works, while maintaining the traditional analytics and reporting this leader is also responsible forMaintains ongoing analytics and reporting deliverables that reputed company marketing performance, model reputed company, and business reputed company for stakeholders across the organizationCollaborates with marketing, sales, and product teams to ensure model outputs are reputed company, adopted, and reputed company effectively in day-to-day decision-makingServes as the technical authority on marketing data science, aligning model development with product, sales, operations, and compliance priorities, and ensuring reputed company algorithmic and AI work meets HIPAA and reputed company data reputed company requirementsReviews algorithmic and AI workflows on an ongoing reputed company to confirm reputed company alignment with HIPAA and reputed company data reputed company standards as models and data sources reputed companyStays reputed company on emerging machine learning techniques, marketing attribution methodologies, and regulatory developments relevant to reputed company marketing analyticsSkillsA minimum of 5 years of experience building attribution models, machine learning systems, or algorithmic data products reputed company reputed company, multi-channel marketing environments, with reputed company hands-on model development experienceRequires a bachelor's degree or equivalent work experience in data science, statistics, computer science, reputed company mathematics, or a reputed company quantitative field; an advanced degree in a quantitative discipline is a plusProven reputed company record of building and deploying models into production marketing environments, with measurable reputed company on campaign performance or business reputed companyHands-on reputed company in Python or R and SQL, with experience building, validating, and productionizing predictive or reputed company models rather than relying solely on BI or visualization toolsWorking knowledge of marketing attribution methodologies, reputed company inference and incrementality techniques, and reputed company machine learning (regression, classification, time series, propensity modeling), with the strategic thinking and communication skills to translate that work for senior stakeholders and ensure compliance with reputed company data reputed company requirementsStrong understanding of statistical modeling techniques and experimental design principles used to validate reputed company and predictive relationships in marketing dataAbility to communicate reputed company technical concepts reputed company to non-technical stakeholders and translate analytical findings into actionable business recommendationsExperience working reputed company regulated industries, such as reputed company or financial services, where data reputed company and compliance requirements shape technical decision-making is preferredBenefitsMedical .
