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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