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Data Science Engineer

Robotics Prcocess Automation, LLC
Ann Arbor, Michigan, US
Full-time

Job Overview

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Job ID : J36993

Specialized Area : Data Science

Job Title : Data Science Engineer

Location : To Be Discussed Later

Duration : 7 Months

Domain Exposure : Manufacturing, Government, IT / Software

Work Authorization : Client

Employment Type : W-2 (Consultant must be on our company payroll. C2C is not allowed)

Emphasis is placed on creating scalable, AI-driven solutions, especially in the areas of recommendation systems, topic classification of customer interactions, and real-time risk alerting for customers.

You will leverage your knowledge of Python, Scripting, SQL / NoSQL, Java to build data science pipelines including data ingestion (real time, structured and unstructured), data science model execution, model results export and expose data science functionality via API / Web Service.

Requirements :

  • 3+ years of professional IT work experience and a Master’s Degree in Computer Science (or related field)
  • Exceptional capability to assess and apply new technologies in a short timeframe
  • Design and operation of robust distributed systems
  • Significant experience with Python / Scripting / Java (preferred in that order)
  • Strong knowledge of relational databases and query authoring (SQL)
  • Some experience with NoSQL data processing
  • Experience with development using open source technologies like Kafka, Hadoop, Hive, Presto, and Spark
  • Rigor in high code quality, automated testing, and other engineering best practices
  • Eagerness to learn and apply new technologies
  • Team player : readily willing to collaborate and assist within and outside of group
  • Fluency with Git for version control

Highly preferred :

  • Model integration : Interface data science models with end-consumers through RESTful web services and microservices
  • Database development : Ingest and persist data in an appropriate database; optimize data architecture and availability
  • Cloud computing capability (AWS, Azure, or Google Cloud)
  • Knowledge of common machine learning and deep learning libraries (e.g., scikit-learn, TensorFlow, Apache Spark MLlib, etc)

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1 day ago
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