Data Scientist, No C2C available

2 weeks ago

Chicago, United States Irvine Technology Corporation Full time

Duties:

  • Serve as data scientist to identify and integrate new datasets that can be leveraged through product capabilities, and work closely with the engineering team in the development of AI products
  • Research and devise innovative statistical / AI models
  • Execute analytical experiments to help solve problems across various domains and industries
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
  • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
  • Analyze data for trends and patterns, and interpret data with clear objectives in mind
  • Build and implement analytical models in production by collaborating with software developers and machine-learning engineers
  • Collaborate with product design and engineering teams to develop and build AI based products by understanding of needs
  • Enable smarter business processes by using analytics for meaningful insights
  • Keep current with technical and industry developments.
  • You will have a strong understanding of key agile engineering practices to guide teams and contribute to growing and improving our engineering practices. You will help your team build better engineering practices, building on our automated testing and continuous integration practices.
  • You will mentor engineers within the team, ensure accurate and complete release and deployment plans by the team. You will build through consensus (when possible) a technical vision and help the team execute and iterate on it. Additionally, you'll identify and escalate technical barriers, dependencies, or risks, ensure technical standards and best practices are followed at all times, help manage the process by which code is delivered and its quality.


Experience:

  • 5 years of experience in data science
  • Proficiency with data mining, mathematics, and statistical analysis
  • Experience in AWS based Cloud AI/ML/Gen AI cloud stack like AWS Sagemaker, AWS EKS, AWS Bedrock, EMR etc.
  • Experience in MLOPS highly desired
  • Experience with container technologies (e.g. Docker)
  • Experience in engineering practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications, application security
  • Advanced experience in pattern recognition and predictive modelling
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
  • Experience with Un-Supervised, Supervised, Deep learning, NLP and Gen AI capabilities
  • Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required.
  • Advanced degree is a strong plus

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