Senior Data Scientist at SparkCognition in Austin, Texas

Posted in Other about 2 hours ago.





Job Description:

SparkCognition

Who are we and why this opportunity?

SparkCognition, Inc. delivers world-class AI solutions that allow a business to solve their most critical problems, empowering them to run a more sustainable, safer, and profitable business. Our award-winning AI solutions predict future outcomes, optimize processes, and prevent cyberattacks. We partner with the worlds industry leaders to analyze, optimize, and learn from data. We augment human intelligence, drive profitable growth, and achieve operational excellence.

Drive change and create a footprint. Learn more at: SparkCognition

You Will:

  • Lead and partner with project teams in developing and applying ML expertise in developing and delivering customer solutions
  • Strategize modeling approaches and document and present experimental approaches and results throughout data science projects
  • Be able to justify why a Data Science modeling approach was chosen over others
  • Independently and effectively engaging with external technical stakeholders and subject matter experts to understand and solve critical business problems
  • Design and deploy machine learning models for commercial and industrial applications with a variety of data sources such as time series streaming data, frequency data, language data, and other structured and unstructured data sources
  • Lead all phases of the data science process from data exploration and processing, feature selection and engineering, model training and testing, and information synthesis
  • Contribute feedback to AI product requirements definitions and serve as advisor and team lead to other data scientists in developing and applying ML expertise.
  • Lead customer conversations in discovery and throughout project implementations and travel up to 10% as needed.

Youll Have:

  • A strong understanding and working knowledge of Data Science, including elements of machine learning, statistics, probability, and modeling.
  • Advanced experience with Data Science programming languages, such as Python, R, Matlab
  • Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and experience in at least one
  • Applied experience of ML techniques/algorithms including: linear models, neural networks, decision trees, Bayesian techniques, clustering, forecasting, anomaly detection, and forecasting
  • 6+ years of experience in building machine learning models
  • 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
  • A strong work ethic, along with the ability to prioritize and complete all job responsibilities in a timely manner
  • Ability to be responsive with a willingness to take ownership of issues and drive solutions.
  • Excellent time management, communication, and organizational skills

It would be great if you had:

  • Experience and knowledge of renewable energy, oil & gas, aerospace, manufacturing
  • Graduate or Doctorate degree (or 5-8 years of equivalent experience) in one of the fields above

SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.

SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

SparkCognition is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.





PI251010111


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