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Summary
About the Role
About You
- BS or MS degree in Computer Science, Engineering, Information Technology Management or related technical field.
- 7+ years of experience obtaining data from multiple, disparate data sources including structured, semi-structured and unstructured data.
- Demonstrable expertise in an area of data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics).
- Proficiency in tools and languages such as Graph DBs, PostgreSQL/SQL, Python, or Java.
- Experience using ML algorithms packages contained in AWS SageMaker or open-source libraries (Python, C++, etc.)
- Experience developing, verifying, and monitoring AI/ML Models.
- Familiarity with DevOps processes and code versioning tools such as git.
- TS/SCI with CI Poly clearance.
- Master’s degree in Computer Science, Engineering, Information Technology Management or related technical field.
- Demonstrated experience with enhancing, managing, optimizing performance, and processing large volumes of data.
- Familiarity with industry best practices for software/hardware development when processing large data sets.
- Experience in machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics.
- Experience with Hadoop, Spark, or other parallel computing processes.
- Experience with using the Joint Enterprise Modeling and Analytics (JEMA) framework or Apache NiFi to develop data processing workflows.
- Experience in AWS services including but not limited to Sagemaker, S3, EMR, and IAM.
Benefits
- Competitive compensation
- Comprehensive insurance options
- Matching contributions through the 401(k) plan and the share purchase plan
- Paid time off for vacation, holidays, and sick time
- Paid parental leave
- Learning opportunities and tuition assistance
- Wellness and Well-being programs
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