Description

We are looking for an innovative Senior Data Scientist to join our team to help create the next generation of analytics and artificial intelligence solutions. In this role, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value to our Predictive Analytics product, SparkPredict

If you were already working for us, you would be:

• Leading all phases of a model development process from data processing, feature selection, and engineering, model training and testing, and synthesizing information in reports
• Designing and conducting quantitative experiments to characterize algorithms
• Using and building automated tools that enable the data scientist to more effectively perform tasks such as data exploration/visualization, data cleaning, feature generation, feature selection, model building, and model validation
• Contributing to product development and deployment as well as key research areas

You may be a great fit for our team if you have:

• A graduate degree or above (or equivalent industry experience), in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related scientific discipline
• A strong understanding and experience using machine learning techniques and algorithms, including but not limited to Linear Models, Neural Networks, Decision Trees, Bayesian Techniques, Clustering, and Anomaly Detection
• Proficiency with Unix shell commands
• Experience with data science programming using Python
• Experience with machine learning frameworks, such as sci-kit-learn, PyTorch, TensorFlow,  and Keras
• Strong interpersonal skills
• The ability to partner with and guide other data scientists in developing and applying ML expertise in developing and delivering novel solutions
• Proficiency in sound software development practices and processes
• Independent thinking skills and the desire to learn new techniques/technologies
• Strong written and verbal communication skills with the ability to translate complex technical topics to internal and external stakeholders

It would be great if you had:

• Experience developing algorithms in a distributed environment (e.g. Dask, Ray, etc.)
• Experience managing large volumes of data (terabytes or more)
• Experience with Big Data Analytics, and Graphing techniques
• Prior work experience in one or more of the following industries: Aerospace, Automotive, Consumer Packaged Goods, Manufacturing, Supply Chain, Oil & Gas, Utilities