Chief Data Architect

5 days ago


Kolhapur, India beBeeDataScientist Full time

About our company: We are a leading food and drug retailer with operations across the United States. Our well-known banners serve over 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 online or in-store. We have made bold moves to migrate and modernize our core capabilities, positioning ourselves as a cloud-based grocery tech leader.Our success is built on a team approach, driven by the desire to enhance the customer experience. By pushing the boundaries of retail, we are transforming shopping into an easy, efficient, fun and engaging experience.About our India office:We're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of our workforce and important to our technology journey to support millions of customers' lives every day.We're growing across Technology & Engineering, AI, Digital and other functions, and transforming a 165-year-old American retailer. At our India office, associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting projects.Job Role:Data ScientistKey Responsibilities:Collaborate with business teams to develop machine learning models on large-scale datasets and improve customers' overall shopping experienceEnhance and apply customer lifetime value models to support various business decisionsGenerate sentiment analysis based on surveys and customer feedbacks to deliver lovable customer experiencesIdentify key drivers for customer satisfaction and opportunities to delight customers through data miningApply machine learning to enhance recommendation engines and deliver personalized user experiences on ecommerce websites and loyalty appsBuild models and algorithms to fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teamsApply predictive modeling techniques to optimize forecasts for planning needsScale up prototypes and implement automated production workflows for modelsCollaborate with software development engineers to integrate modelsRequirements:Masters or PhD degree in quantitative disciplines such as Computer Science, Engineering, Data Science, Math or Statistics1+ years of industry experience in applying data science and modeling methodologiesProficiency in SQL, Python and/or Spark-MLStrong teamwork and communication skillsAbility to write production-level code in PythonSkills Required:Regression modelingSurvival modelingEnsemble modelingNLPRecommendation algorithmsClusteringDeep learning algorithmsExperimental design (Multivariate/A-B testing)Nonparametric Bayesian modelingSQL, Python, Spark-ML



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