Sportism - Data Scientist

- 2+ years of experience developing solutions with the help of machine learning, operation research and pattern searching methods on large scale data

- A strong understanding of statistical models like hierarchical models, stochastic models, time series, survival and econometric models

- Expertise in deep learning frameworks such as PyTorch, MxNet, Tensorflow

- Hands-on knowledge of Python, data science/machine learning packages and SQL with the ability to write readable and efficient queries for complex data crunching

- First-hand experience using Spark (Scala or Pyspark) to process data at large scale

- Knowledge of MS Excel to do quick exploratory data analysis using basic functions, pivot tables and charts

- Experience collaborating with ML Engineering teams in deploying ML models to production

- Hands-on experience in problem dependent data pre-processing

- Experience in creating and hosting scalable Restful APIs using Python, Flask, Django or Streamlit.io

- Understanding of the appropriate evaluation metrics for AI problems

- Any 2 of the following: Python, R, SQL, Spark, Hive.

- Any 2 of the following ML skills: scikit-learn, Tensorflow, Keras, PyTorch, MxNet, PyCaret

- Any 1 of the following: Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL

- Having any 1 of these is a plus: Tableau, PowerBI, MicroStrategy, ChartIO, Qlik