Data Scientist / Machine Learning Scientist

Our client is looking to hire for a Data Scientist / Machine Learning Scientist in Advanced Analytics.

Job Description

• The AI and Data Science team is centralized across the entire organization.


• We work with various product teams across various business units to define high-impact business problems, solve them using novel techniques, and execute and monitor them throughout their lifecycle.


• Most of our models make it to production, they never sit in a research lab. But we also do quite a bit of research to stay up-to-date with the latest technologies/algorithms.


• We are very collaborative, you will likely get lots of ideas from the team.

Job Duties:

• We create predictive models to predict various component failures hours, days, and sometimes months in advance.


• We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects. We then optimize their performance and deploy them at the edge for real-time scoring and notification of our mechanical personnel upon detections.


• Effectively utilize appropriate statistical and Machine Learning models and techniques to solve various business problems


• Collaborate with various departments to identify opportunities for process improvement and developing analytics use-cases.


• Evaluate accuracy and quality of data sources, as well as the designed models


• Stays up to date with the latest models and changes in the technology


• Communicate results to colleagues and business partners.

Desired Skills:

• We use Python, R, and Spark (PySpark, SparkR, Scala) for modeling and EDA.


• We use Jupyter notebook, Emacs, PyCharm, Rstudio as IDEs.


• We use Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision.


• We always have the latest versions of our tools/packages/libraries available.

Requirements:

• Bachelors, Masters or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics or related field


• Minimum of 1 year of relevant industry experience (as a Data Scientist, Research Scientist, Machine Learning Engineer, etc.), 2+ preferred; or proven qualifications.


• Hands-on and theoretical knowledge of various Machine Learning algorithms and tools, e.g. xgboost/LightGBM, Random Forests, SVMs, PCA, t-sne, kmeans, DBSCAN, etc.


• Expertise with Time Series problems is a plus


• Excellent knowledge of Python and/or R, knowledge of Spark is a plus