Chief Customer Insights Analyst

2 weeks ago

shimoga, India beBeeDataScience Full time

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 and shape 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 foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.About our India workplace:We cultivate a space where ideas flourish and careers thrive. Our workplace is a vital extension of our workforce and important to the next phase in our technology journey to support millions of customers' lives every day.We raise the bar to grow across Technology & Engineering, AI, Digital and other functions, and transform a 165-year-old American retailer. Associates 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 Description:We are seeking a Data Scientist to join our team.Main Responsibilities:Collaborate with business teams to develop production grade machine learning models on large-scale datasets and improve customers' overall shopping experienceEnhance and apply customer lifetime value models to support various business decision makingGenerate sentiment analysis based on surveys and customer feedbacks in order to deliver lovable customer experiencesIdentify key drivers for customer satisfaction and opportunities to delight customers through mining complex dataApply machine learning to enhance recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile appBuild models and algorithms to fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teamsApply predictive modeling techniques to optimize the forecasts for planning needsScale up prototypes and implement reliable automated production workflow for modelsCollaborate with software development engineers to integrate modelsRequirements:To be successful in this role, you must have:Masters or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields1+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.1+ years of experience and proficiency in SQL, Python and/or Spark-MLStrong teamwork and communication skillAbility to write production-level code in PythonKey Skills:You should have expertise in:Regression modelingsurvival modelingensemble modelingNLPrecommendation algorithmsclusteringdeep learning algorithmsexperimental design (Multivariate/A-B testing)nonparametric Bayesian modelingSQL, Python, Spark-ML],

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