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Data Scientist

SparkCognition is looking for innovative Data Scientists 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 in the Industrial IoT, Finance, and Defense spaces.


Building models to solve specific problems. This includes, but is not limited to:

Processing, cleansing, and verifying the integrity of data used for analysis
Feature engineering using various techniques for the enhancement of data
Performing feature selection on original and generated data
Using machine learning tools to develop and train models
Performing efficacy testing of the models

Building automated tools that enable data scientists to more effectively perform tasks such as data cleaning, feature generation, feature selection, or model building
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


Skills and qualifications

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)
Graduate degree (or equivalent industry experience), Ph.D. preferred, in Computer Science, Statistics, Physics, Mathematics, Neuroscience, Linguistics, Electrical Engineering, Economics, or a related scientific discipline


Desirable skills and qualifications

Experience with distributed computing, such as Hadoop, Spark, or an MPP environment
Experience with developing application on full stack of HTTP, JSON, REST, React, Java/C#, SQL, and no-SQL databases
Experience with NLP, Big Data Analytics, and Graphing techniques

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