Unlocking Customer Delight Through Data-driven Innovation
1 week ago
About Us:We are a leading retail organization that operates across 35 states and the District of Columbia. Our well-known banners serve more than 36 million customers each week.We build technology solutions that solve customer 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 one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing boundaries, we transform shopping into an easy, efficient, fun, and engaging experience.About Our Team:We're not just innovating technology and retail, we're cultivating a space where ideas flourish and careers thrive. Our team collaborates directly with international teams, enhancing decision-making processes and organizational agility through exciting projects. Your work will make history and help millions of lives come together around the joys of food and inspire their well-being.Job Description:We're seeking a Data Scientist who can develop production-grade machine learning models on large-scale datasets to improve customers' overall shopping experience.Roles & responsibilities:Collaborate with business teams to develop machine learning models and enhance customer lifetime valueEnhance and apply customer lifetime value models to support business decision makingGenerate 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 experiencesBuild 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:We require a Masters or PhD degree in a quantitative discipline like Computer Science, Engineering, Data Science, Math, Statistics, or related fields. You should have 1+ years of industry experience applying data science and modeling methodologies, including regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing), and nonparametric Bayesian modeling.You should also be proficient in SQL, Python, and/or Spark-ML, with 1+ years of experience writing queries, transforming data, mining structured and unstructured data.A strong teamwork and communication skill is required, along with the ability to write production-level code in Python. Experience with Snowflake, Azure Databricks is a plus.Skills Required:We require skills in 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, and production-level Python coding.
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