Data Innovation Specialist

4 days ago

erode, India beBeeDataScience Full time

About our client company: As a leading food and drug retailer in the United States, they operate over 2,200 stores across 35 states and the District of Columbia.We build and shape innovative 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.About our company India:We're not just pushing the boundaries of technology and retail innovation, 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 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.Associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects.Job Title: Data ScientistJob Description:Key Responsibilities:Collaborate with business teams to develop production-grade machine learning models on large-scale datasets and improve customers' overall shopping experience.Enhance and apply customer lifetime value models to support various business decision making.Generate sentiment analysis based on surveys and customer feedbacks in order to deliver lovable customer experiences.Identify key drivers for customer satisfaction and opportunities to delight customers through mining complex data.Apply machine learning to enhance recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app.Build models and algorithms to fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams.Apply predictive modeling techniques to optimize the forecasts for planning needs.Scale up prototypes and implement reliable automated production workflow for models.Collaborate with software development engineers to integrate models.Requirements:Masters or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields.1+ 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-ML.1+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.1+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop.Strong teamwork and communication skill.Ability to write production-level code in Python.Experience with Snowflake, Azure Databricks is a strong plus.Skills Required:Regression modelingSurvival modelingEnsemble modelingNLPRecommendation algorithmsClusteringDeep learning algorithmsExperimental design (Multivariate/A-B testing)Nonparametric Bayesian modelingSQL, Python, Spark-ML, Snowflake, Spark, Hadoop, production-level Python coding

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