Description

SparkCognition is an AI leader that offers business-critical solutions for customers in energy, oil and gas, manufacturing, finance, aerospace, defense, and security. A highly awarded company recognized for cutting-edge technology, SparkCognition develops AI-powered, cyber-physical software for the safety, security, reliability, and optimization of IT, OT, and the Industrial IoT. In order to deliver value to our customers, we provide solutions that address complex customer problems.

The Services team is looking for a Data Scientist to join us in ensuring that our customers value from their engagement with us. As a Data Scientist, you’ll bring your knowledge and proven data science expertise to design and build machine learning-based solutions that help our customers make well-informed decisions. 

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
• Prior work experience in one or more of the following industries: Aerospace, Automotive, Consumer Packaged Goods, Manufacturing, Supply Chain, Oil & Gas, Utilities