Job
Description
Working Hours : 2PM to 11PM IST Mid-Level ML Engineers / Data Scientist Role : (4-5 years of experience ) - Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data using Pandas and PySpark - Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling. - Experience applying various machine learning techniques and understanding the key parameters that affect their performance. - Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning). - Experience with Python and Python packages like NumPy, Pandas and deep learning frameworks like TensorFlow, Pytorch and Keras - Experience in Big Data ecosystem with frameworks like Spark, PySpark , Unstructured DBs like Elasticsearch and MongoDB - Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc. - Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL). - Previous experience in ML, data scientist or optimization engineer role with a large technology company. - Experience in an operational environment developing, fast-prototyping, piloting, and launching analytic products. - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. - Experience in creating data driven visualizations to describe an end-to-end system. - Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research, and business backgrounds. - Bachelors or Masters in Artificial Intelligence, Computer Science, Statistics, Applied Math, or a related field.
