2 PwC Data Scientist Jobs

• Build, Train, and Deploy ML Models using Python on Azure/AWS
• 5+ years of Experience in building Machine Learning and Deep Learning models in Python
• Experience on working on AzureML/AWS Sagemaker
• Ability to deploy ML models with REST based APIs
• Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
• Ability to work directly with customers with good communication skills.
• Ability to analyze datasets using SQL, Pandas
• Experience of working on Azure Data Factory, PowerBI
• Experience on PySpark, Airflow etc.
• Experience of working on Docker/Kubernetes

Degrees/Field of Study required Bachelor of Engineering, Master of Engineering, Master of Business Administration Degrees/Field of Study preferred Hadoop Framework Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, DataDriven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation