Highly Skilled Data Science Professional
2 days ago
About Us: We are a leading food and drug retailer in the United States, operating over 2,200 stores across 35 states and the District of Columbia. Our well-known banners serve more than 36 million U.S customers each week.We build technology solutions that solve customers' problems every day, making things easier for them when they shop with us online or in a store. We have made bold moves to migrate and modernize our core capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.Our success is built on a collaborative approach, driven by the desire to understand and enhance the customer experience. By pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.We cultivate a space where ideas flourish and careers thrive. Our workplace is vital to the next phase in our technology journey to support millions of customers' lives every day. We aim to grow across Technology & Engineering, AI, Digital and other functions, and transform a 165-year-old American retailer. We collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.Job Title:Data ScientistJob Description:We seek a highly skilled Data Scientist to join our team. The ideal candidate will have expertise in developing production-grade machine learning models on large-scale datasets and improving customers' overall shopping experience.Collaborate with business teams to develop machine learning modelsEnhance and apply customer lifetime value modelsGenerate sentiment analysis based on surveys and customer feedbacksIdentify key drivers for customer satisfaction and opportunities to delight customersApply machine learning to enhance recommendation enginesBuild models and algorithms to fuel growth initiativesApply predictive modeling techniques to optimize forecastsScale up prototypes and implement reliable automated production workflowTo be successful in this role, you must have:A Master's or PhD degree in a quantitative disciplineIndustry experience in applying data science and modeling methodologiesProficiency in SQL, Python and/or Spark-MLExperience in building data science solutions and production-ready systemsStrong teamwork and communication skillsRequired Skills:Regression modelingSurvival modelingEnsemble modelingNLPRecommendation algorithmsClusteringDeep learning algorithmsExperimental design (Multivariate/A-B testing)Nonparametric Bayesian modelingSQL, Python, Spark-ML
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