Sr. Data Scientist

SparkCognition

Austin, TX, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/05/2021
  • Website: www.sparkcognition.com
  • Company Address: 4030 W. Braker Lane Building 5, Suite 500, Austin, TX 78759

About SparkCognition

SparkCognition is an advanced market leading platform that provides artificial intelligence (AI) systems to enable customers to weave AI into the fabric of their organizations.

Job 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 Senior Data Scientist to join us in ensuring that our customers value from their engagement with us. As a Senior 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

    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
    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
    Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals.
    Partner with and guide other data scientists in developing and applying ML expertise in developing and delivering novel solutions.
    Serve as a people manager to other data scientists, as needed

Requirements

    Strong understanding of Data Science, including basic elements of machine learning, statistics, probability, and modeling.
    Significant experience with Data Science programming languages, such as Python, R, Matlab
    Significant 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
    Significant experience managing large volumes of data (terabytes or more)
    Experience with 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
    Graduate degree in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related scientific discipline

Preferred Qualifications

    Doctorate degree (or 5-8 years of equivalent experience) in one of the fields above
    Experience with distributed computing, such as Hadoop, Spark, or an MPP environment
    Experience with developing an application on a 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

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.