Data Scientist II

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Skills -

• Bachelor's or Master degree in Computer Science, Engineering, Applied Mathematics or related field
• 5-8 years of relevant experience
• Should have developed and deployed algorithms on data analytics platforms.
• Should have minimum 4 years of hands on experience with algorithm development and strong in implementing first principle based logic.
• Minimum 3 years of experience in developing and building logic to use very large amounts of data (structured and unstructured), including time series data
• Good working knowledge of Spark, R/Python and C++.
• Key responsibilities -
• Implementation of end-to-end statistical/ML/analytics solutions as per the industry standard process
• Understand business requirements and propose suitable solutions
• Explore, devise and implement ML algorithm stack
• Experiment, prototype and finalize specific solution with the best business metrics
• Design and implement ML solutions
• Collaborate with product teams across the organization for deployment and integration of AI solutions in existing products
• Deliver production quality, modular, reproducible code in Python
• Create data visualizations to visualize raw data and analytics insights to demonstrate efficacy of the solution

Requirements –

• Solid understanding of statistics, probability, ML and DL
• A minimum of 2 years of experience in developing and deploying end-to-end AI/ML solutions in production environment
• Exposure to reinforcement learning, supervised and unsupervised algorithms, various architectures of neural networks, time series forecasting, deep learning networks
• Deep expertise in any specific application of ML and DL
• Prior experience in building and deploying ML pipelines from data ingestion, preparation to deploying models in production
• An understanding of various databases relational, NoSQL with prior experience in any DB
• Exposure to ML and DL frameworks like TensorFlow, PyTorch, Keras, etc
• Familiarity with ML testing and data validation frameworks

Good to have –

• Familiarity with IoT communication protocols
• Familiarity with Hadoop and Azure environment
• Edge AI deployment experience