W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll; Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.
Job Overview
Job ID: J36993
Specialized Area: Data Science
Job Title: Data Science Engineer
Location:
Duration: 7 Months
Domain Exposure: Manufacturing, Government, IT/Software
Work Authorization:
Client: To Be Discussed Later
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, and 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.)
AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AUTOMATION TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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