Career Center

•             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.