Senior Principal Data Scientist
Expedia- Full Time
- Senior (5 to 8 years)
Candidates should possess a degree in a computational field, preferably a Ph.D., and have at least three years of experience in Data Science, ML Engineering, or a related field. Expertise in building models for business forecasting and decision-making, such as lifetime value, churn, seasonality, likelihood to convert, utilization, and pricing is required, along with proficiency in optimization algorithms and problem formulation. Exceptional Python skills, including common libraries for data exploration, cleaning, machine learning, and statistical analysis, are also necessary, as is advanced SQL knowledge.
The Data Scientist will be responsible for developing and implementing advanced analytics solutions and recommendation systems, creating forecasting and classification models to drive business decisions, particularly in sales optimization and customer retention. They will build and maintain a diverse portfolio of machine learning models, including classification, forecasting, and regression systems for critical business applications, with a focus on creating propensity models to optimize conversion funnels and predictive models for attrition analysis and lifetime value estimation. The role involves extensive data exploration and analysis to support various business initiatives, collaborating with Sales, Marketing, and Operations teams, and automating and productionizing machine learning pipelines for scalable solutions. Additionally, they will design and execute experiments to measure model performance, build content recommender systems, generative AI applications, and participate in data product development and data platform development.
Digital infrastructure company
Equinix's mission is to provide a vendor-neutral multitenant data center where competing networks can securely connect and share data traffic. They interconnect industry-leading organizations such as finance, manufacturing, retail, transportation, government, healthcare and education across a digital-first world.