Data Strategist

2 days ago

belgaum, India beBeeData Full time

About our organization: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 across the country serve more than 36 million U.S customers each week.We build innovative 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 foundational 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.About our Indian team:We're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of our global workforce and important to the next phase in our technology journey to support millions of customers' lives every day. We are raising the bar to grow across Technology & Engineering, AI, Digital and other functions, and transform a 165-year-old American retailer. Our 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 Title: Data ScientistDescription: Roles & responsibilities: We're looking for a talented Data Scientist to 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 decisionsGenerate 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 data miningApply 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 forecasts for planning needsScale up prototypes and implement reliable automated production workflow for modelsCollaborate with software development engineers to integrate modelsRequirements: 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 skillsAbility to write production-level code in PythonSkills: Regression modeling, survival modeling, ensemble modeling, NLP, recommendation algorithms, clustering, deep learning algorithms, experimental design (Multivariate/A-B testing), nonparametric Bayesian modeling, SQL, Python, Spark-ML, Snowflake, Spark, Hadoop, production-level Python coding

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