Hospitality Controller Job at Confidential, Boston, MA

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  • Confidential
  • Boston, MA

Job Description

The client is searching for an Associate Director of Data Science and Analytics to lead the clients data strategy and oversee analytics initiatives. This role involves establishing best practices in data science to support the Digital Americas business, including leading the design and delivery of AI/ML models for key business outcomes like churn, pricing, and lifetime value (LTV). A hands-on leadership approach is required to guide model, algorithm, and MLOps development while collaborating with global teams to improve data architecture aligned with strategic goals. The position also requires prioritizing Americas' requests in global systems, supervising development, quality assurance, and rollouts, and integrating regional tools into data warehousing and analytics platforms.

Responsibilities include collaborating with the Digital Americas team to refine data processes, deliver actionable insights, and support decision-making. Additionally, this role involves leading web analytics audits to maintain accurate tagging and reporting, managing third-party data and analytics vendors, and building analytics tools that support revenue growth and business accountability. The Associate Director will assess performance metrics to guide the optimization of marketing, product, and digital experiences while ensuring the team remains up-to-date with trends in analytics and AI. Mentoring a Business Analyst and providing ad hoc analyses and cross-functional reports are also key duties.

Candidates for this position should hold a bachelors degree, with a masters degree in a quantitative field such as statistics, mathematics, or economics preferred. They should have 812+ years of experience in eCommerce and digital marketing data science and analytics. Proficiency in SQL, Python, R, and advanced modeling, machine learning, and experimental design skills are essential, as is experience with cloud platforms, ML frameworks, and visualization tools. Familiarity with web analytics, digital KPIs, MLOps, and related technologies is vital. If interested, candidates are encouraged to submit their resumes for consideration.

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