About the job : - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas.
It s good to have experience in these but not a necessity - as long as you re super comfortable in a language of your choice.
You will develop tools and products that provide analysts ready access to the dataAbout you : - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred).
Also good to have experience with python-based application development and data science libraries.
Ideally, you have 2+ years of experience in tech and / or data.
Degree in CS / Maths from Tier-1 institutes.
Skills : - Python, Data Analytics, Hadoop, Data Warehouse (DWH) and Machine Learning (ML)