Data Scientist (Expert) - Data & Analytics - IT - ...

Job description

Required Skills:

  • Masters in Computer Science, Computer Engineering or related field with 2+ years experience; or equivalent
  • Experience building models using R, Python or other statistical and/or mathematical programming packages; proficiency in R and Python programming languages
  • Experience with cloud computing environments (e.g. AWS, GCP)
  • Experience with containerization (e.g. Docker)
  • Proficiency in consuming REST based API and/or gRPC framework output
  • Experience with data pipeline design and development
  • Experience deploying and running models with high performance needs (large datasets, computationally intensive models)
  • Experience with Git
  • Experience with Object-Oriented Programming
  • Familiarity with common data quality methodologies used by various personas including data engineers and data scientists
  • Experience adopting software development best practices and solid understanding of SDLC methodologies
  • Solid communication skills with the ability to communicate complex qualitative analysis in a clear, precise and actionable manner and deliver presentations

Desired Skills:

  • Experience with Apache Airflow, Kubernetes, SageMaker, SQL, MapReduce
  • Ability to take initiative and drive work independently
  • Expertise with quantitative modeling techniques such as statistics, machine learning, optimization, and simulation
  • Expertise with SQL-like databases and/or DB-ORM concepts
  • Full-stack development experience

IMPORTANT NOTE for POTENTIAL US CANDIDATES: Our client expects its colleagues to be fully vaccinated against COVID-19. Colleagues are also expected to disclose their vaccination status and if fully vaccinated, provide proof of vaccination status to Occupational Medicine. Our client defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, colleagues are also required to comply with state, local and customer requirements.


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