Data Scientist

Key Skills

3D data processing, Continuous Integration & Continuous Delivery - CI/CD, Data cleaning / Data cleansing, Data science techniques, Deep Learning, Docker, Effective communication skills, Employee life cycle, Git, Kubernetes-K8s, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

Overview

The successful candidate will be a Ph.D. level data scientist with knowledge in the life sciences, including protein structures, small compound analytics and broader LS/HC subject matter. The candidate will also be able to develop deep learning applications using Python as a primary tool, both to implement novel solutions and iterate on existing software solutions. The candidate will primarily work in a virtually distributed, dynamic and extensively experienced technical team.

Responsibilities for the Data Scientist will include:

• Work closely with other data scientists and SMEs to develop DL/ML powered software features
• Support projects through the data science lifecycle – from R&D to production
• Carry out preprocessing of structured and unstructured data
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Devise and collect data on metrics surrounding the success of the systems developed by Vyasa 

Qualifications

The ideal candidates will have the following skills or experience:

• Exceptional Python skills, experience using scientific libraries including Tensorflow/Pytorch to train and serve models for inference
• Familiarity with containerization tools such as Docker/Kubernetes
• Ability to work in a distributed, fast-paced software environment with minimal supervision
• Familiarity with CI/CD and version control tools, unit/integration testing, working with Git
• Extensive knowledge of deep learning and machine learning techniques, and pitfalls, and experience applying them to real world data sets
• Comfortable working in a remote environment and communicating via chat, video conference, screen sharing and phone calls