Job Overview
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)