Visionary Data Strategist

7 days ago

thane, India beBeeData Full time

Are you a data enthusiast seeking a challenge that combines creativity and technical skills?We are looking for a skilled Data Scientist to join our team, responsible for developing innovative solutions that drive business growth.The ideal candidate will have experience in applying data science methodologies, including regression modeling, survival modeling, ensemble modeling, NLP, recommendation algorithms, clustering, deep learning algorithms, experimental design (Multivariate/A-B testing), and nonparametric Bayesian modeling. A strong foundation in SQL, Python, and/or Spark-ML is also required. Proficiency in Snowflake, Azure Databricks is a plus.Responsibilities:Collaborate with cross-functional teams to develop production-grade machine learning models on large-scale datasetsEnhance and apply customer lifetime value models to support various business decision-makingGenerate sentiment analysis based on surveys and customer feedback to deliver lovable customer experiencesIdentify key drivers for customer satisfaction and opportunities to delight customers through complex data miningApply machine learning to enhance recommendation engines and deliver personalized user experiences on ecommerce websites and loyalty mobile appsOur company offers a collaborative work environment, competitive salary and benefits package, and opportunities for professional growth and development. We're passionate about building a diverse and inclusive team that reflects the communities we serve. Join us in shaping the future of retail innovationRequirements: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 methodologiesStrong teamwork and communication skillsPreferred Qualifications:Experience with Snowflake, Azure DatabricksKnowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorchDon't miss this opportunity to make a meaningful impact on the retail industry Apply now to become a part of our talented team of data enthusiasts

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