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Data Science Engineer

  • Job type: Permanent
  • Location: Chicago, Illinois
  • Salary: Negotiable
  • Job reference: 311431/003_1562960310
  • Sector: BI & Big Data, Glocomms
  • Date posted: 12/07/2019

Lead Data Science Engineer

San Diego, CA

HealthTech

Compensation: $120,000-$160,000

(Unlimited PTO, Daily Catered Lunches, Free Gym Membership)

This innovative and well-established Healthcare organization is actively looking to add a Senior Data Science Engineer to their Analytics team. As part of a newly developed Data Science team, you will work with our Cloud Architect to design and build out the AWS data pipeline to fuel the company along its digital journey. The ideal candidate will be a self-starter with superior communication skills (verbal and written). A solid understanding of data science, advanced statistics, machine learning, data mining and visualization techniques are a must. In addition to the following qualifications the desire and ability to learn quickly is vital. 

Skills You Will Need:

  • Solid coding experience in various programming or scripting languages such as Python, Pyspark, Scala, R and/or Shell scripting.

  • Experience optimizing and performance tuning 'big data' data pipelines and data sets with distributed technologies (e.g. Spark, Hive, or Pig).

  • Exposure in engineering (commercial or open-source) software platforms and large-scale data infrastructures, CI/CD DevOps toolchain.

  • Experience working with production systems.

Minimum Qualifications:

  • Bachelors in Computer Science or related field

  • 5+ years of relevant practical experience in data science or data engineering

  • Experience with a wide variety of machine learning models and techniques (e.x. supervised and unsupervised learning, dimensionality reduction)

  • Excellent command of Python and relevant libraries (Numpy, Scipy, Sklearn, etc.)

  • Strong understanding of the fundamental mechanics of machine learning algorithms

  • History of building and interacting with SOAP/RESTful APIs.

Ideal candidates will:

  • Experience working on the AWS (or similar) platform.

  • Infrastructure as a Service exposure.

  • Docker/container orchestration experience.

*This role in unable to provide sponsorship*

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