812106 Data Scientist $230,000.00
Position Level: Level 1 – Subject Matter Expert
Salary: Up to $230,000.00 per year
Core Hours: 9am to 4pm
Location: Chantilly, VA
Clearance Requirement: Top Secret (TS/SCI) with a Polygraph
About the role
The Customer applies technical resources to accelerate the timely, reliable, and secure delivery of open source data, information, and insights. The Customer requires developer support developing tailored solutions to tackle unique global collection problems. Work may be performed independently or within a team environment depending on the specific problem statement.
Work will include developing Amazon Web Services (AWS)-based resources and will span many compute, storage, and networking services. The role involves close collaboration with the Customer’s technical lead to architect, deploy, and maintain multiple, fast-turnaround capabilities used for highly-visible and high-priority collection efforts.
Responsibilities
- Strategically apply AI/ML to extract, format, and expose in indexed search tools relevant content such as raw text, multimedia (audio, image, video, document), tabular (CSV, Parquet, Avro), nested (JSON, JSONL, XML), and other structured/unstructured data types.
- Provide Data Engineering support including cleaning, modeling, and formatting data of unknown formats.
- Move data between different cloud storage environments for critical requests.
- Coordinate with multiple entities, including mission partners, to ensure capabilities and deliverables meet defined requirements and tradecraft needs.
- Create and maintain collection capabilities and deliverables within the Customer’s Amazon Web Services environment utilizing Customer approved AWS services.
- Validate collected data to ensure it meets data format requirements.
- Maintain all source code in the Customer’s GitHub repository.
- Document all source code, including how to execute the code.
- Perform operations and maintenance on the collection capabilities and deliverables to adapt to changes in collection target, technologies, data formats, and naming conventions.
Requirements
- Mandatory: Demonstrated experience with Python.
- Mandatory: Demonstrated experience with geo-spatial software and programming packages and data formats.
- Mandatory: Demonstrated experience creating and managing AWS resources, including provisioning EC2 instances, writing and deploying Lambda functions, creating and writing to S3, and managing authorization appropriately across resources with IAM policies.
- Mandatory: Demonstrated experience using GitHub.
- Optional: Demonstrated experience deploying AWS applications with AWS’s Cloud Development Kit (CDK).
- Optional: Demonstrated experience building and deploying containerized applications.
- Optional: Demonstrated experience building, programmatically working with and maintaining search engines such as Elasticsearch, Lucene, or AWS’s OpenSearch.
- Optional: Demonstrated experience creating, programmatically working with and maintaining SQL and NoSQL databases.
- Optional: Demonstrated experience with other non-AWS cloud services such as Google Cloud Platform, Microsoft Azure.
- Optional: Certification(s): AWS DevOps Engineer, Solutions Architect, or SysOps Administrator.
Benefits
- Compensation: Outstanding salaries
- Retirement: Full Vanguard 401k Plan – featuring a full scope of investment options; 100% employer matched contribution up to 6% of employee's salary; ability to max out 401k savings ($57k; $63.5k if over 50)
- Employees receive: B4Corp phantom stock each year (2-year vesting period)
- Insurance: Medical – United Health Care (UHC) (multiple plan options); Dental – United Concordia (UC) Flex Plan; Vision – Vision Service Plan Insurance Co (VSP) Signature Plans
- Disability: Mutual of Omaha short-term disability (60% of salary up to $2,000.00/week); Mutual of Omaha long-term disability (60% of salary up to $10,000.00/month)
- Life Insurance: Mutual of Omaha life insurance ($200,000.00)
- Employee Referral Bonus: $3,000 per year for every year the referred person works for B4CORP
- Paid Time Off (PTO): Seven weeks of leave per year (including ten federal holidays)
- Flexible work schedule: with comp time (with customer approval)