Data Scientist

Description: 
Key Qualifications: 
1-2 years as data scientist or machine learning engineer. Working knowledge and experience with big data. 
Familiar with machine learning algorithm and capable to use proper metrics to evaluate model results. 
Proficiency developing machine learning solutions using Python and its associated ecosystem numpy, pandas, TensorFlow, PyTorch, etc. 
Experience working with large-scale time series data processing and image recognition pipelines is a good plus. 
Deliver high quality analytic insights from a large data warehouse, especially time series data. 
Implement Deep Learning algorithms in time series data and computer vision. 
Experience working in a cloud-native environment such as AWS. 
Demonstrated abilities in problem formulation, algorithm design, and model building, including statistical analysis and evaluation. 
Compare the results of predicted values and actual values, based on historical data availability. 
Drive development of data products in collaboration with data scientists and analysts. Automate reporting where possible to make team more efficient.
Maintain software traceability through GitHub 

Education: 
MS or Ph.D. in Computer Science, Software Engineer, Data Science, 
Machine Learning, Statistics, Operations Research or related field.