Data Scientist Professional

Machine Learning EngineerAbout Us:We are a leading retail organization 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, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.We are cultivating a space where ideas flourish and careers thrive, both locally and internationally. 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.Job Description :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.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 codingBecoming part of our team will offer you the opportunity to:Develop your skills and career in a fast-paced, dynamic environmentWork collaboratively with international teams to drive innovation and growthEnjoy a competitive salary and benefits packageRequirements: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-ML1+ 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, HadoopStrong teamwork and communication skillAbility to write production-level code in PythonExperience with Snowflake, Azure Databricks is a strong plus