We are looking for the Python candidates who are expert in Data Science and Machine Learning.

About the job

You'll be working with a fast growing team to solve the large issue of disruptions and delays in the supply chain. With a global supply chain crisis still hurting many businesses, we're providing a software product to predict disruptions and delays months in advance to help alleviate the current supply chain issues. Our platform ingests many data sources including historical client data and external data sources such as geopolitical risk, macro economic information, AIS data, satellite imaging, Twitter feeds, and many more data sources. This information is fed into our predictive model to find leading indicators to prevent a disruption or a delay.

Responsibilities

Improving model performance, feature engineering, implementing external data sources into the model, statistical analysis, contributing to the code base, and model scalability with enterprise clients (Fortune 2000).

Qualifications

5+ years’ experience as a Machine Learning Engineer/Data Scientist

Bachelor's degree in Data Science or CS

Hands on experience with Python, SQL, AWS, ML & Times Series

Image recognition and natural language processing is a plus

NumPy, Pandas, Skikit-learn, XGBoost, TensorFlow, Keras

Currently in a Machine Learning Position

Experience with Neural Networks

Data Cleaning and Feature Engineering of Data to Train Models