Data Scientist III

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Description

 

Qualified candidates are deeply analytical with a keen understanding of the business processes and programs and the ability to translate data and insights. They will have a track record of driving successful data science initiatives for business and customer-facing outcomes. 

This is a highly visible role that offers a significant professional development opportunity, as well as the opportunity to meaningfully contribute to SparkCognition’s success and that of its customers. 

Responsibilities 

  • Partner with other data scientists and project teams in developing and applying ML expertise in developing and delivering novel customer solutions 
  • Independently and effectively engage with external technical stakeholders and subject matter experts to understand and solve critical business problems through the application of cutting-edge artificial intelligence 
  • Design and deploy machine learning models for commercial and industrial applications, such as anomaly detection, prescriptive maintenance, and fraud detection 
  • Lead all phases of the data science process from data exploration and processing, feature selection and engineering, model training and testing, and information synthesis 
  • Maintain and apply deep understanding and application of all relevant SparkCognition products/technologies to support ongoing projects and proposal work 
  • Use and/or pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities 
  • Contribute to AI product development and key data science research areas, internally and externally 

Requirements 

  • Strong understanding of Data Science, including basic elements of machine learning, statistics, probability, and modeling. 
  • Experience with Data Science programming languages, such as Python, R, Matlab 
  • Experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras.  
  • Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection 
  • Experience managing large volumes of data (terabytes or more) 
  • Experience with participating in and/or leading project teams, specifically data science teams 
  • Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders 
  • Ability to form strong working relationships with team members, cross-departmentally, customers' technical teams, and executive leadership 
  • Degree in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related scientific discipline 

Preferred Qualifications 

  • Graduate or Doctorate degree (or equivalent experience) in one of the fields above 
  • 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 Natural Language Processing 
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Location

Large 2022 renovated office space located near the Arboretum in Austin, TX- including fully stocked beverage and snack areas, along with community spaces that include games and activities.

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