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.
