Job Posted: Wednesday, March 21, 2018
Expires On: Saturday, August 04, 2018
Job Type: Permanent
Duration: 1+ years
Desired Experience: 6-10 years
Work Authorization: Resident/Citizen, Citizen
SparkCognition is a global leader in cognitive computing analytics. A highly awarded company recognized for cutting-edge technology, SparkCognition develops AI-Powered cyber-physical software for the safety, security, and reliability of IT, OT, and the IIoT. Our technology is capable of harnessing real time sensor data and learning from it continuously, allowing for more accurate risk mitigation and prevention policies to intervene and avert disasters.
In 2017, we won the #1 fastest growing startup in Austin from the Austin Business Journal.
SparkCognition is looking for innovative Sr Data Scientist to join our team to help create the next generation of analytics and artificial intelligence solutions. At SparkCognition, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value across numerous Industry Verticals.
Why you should consider SparkCognition. If you are passionate about Data Science then SparkCognition is for you. You can go to larger companies and be bored doing the same thing every day, or you can come work for us where you will be exposed to numerous projects encompassing: Supervised, Unsupervised, and Reinforcement Learning projects, Neural Net development, Vision Applications, and the list goes on and on for unique projects we are succeeding at every day.
Performing analysis on a variety of data sets to solve real world customer use cases
Interaction with customer representatives to understand their business problems and develop the best algorithm/model to solve their need
Ability to Guide and mentor junior data scientists
Using machine learning algorithms and tools to develop and train models
Performing ad-hoc analysis and presenting results in a clear manner
Working with a team to help solve new, never-before-solved challenges across multiple industries
Required Skills and qualifications
5+ Years in industrial/commercial application of Data Science
Understanding and experience using machine learning techniques and algorithms, including but not limited Linear Models, Neural Networks, Decision Trees, Bayesian Techniques, Clustering, Anomaly Detection, and more
Experience with data science languages, such as Python, R, MatLab, etc.
Experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, Keras, etc
Great communication skills
Good applied statistics skills, such as distributions, statistical testing, etc
Good scripting and programming skills, especially Python
Experience managing large volumes of data (terabytes or more)