Job Title: Data Scientist
Location: Herndon, Virginia
Status: On-Site
Employment Type: Full-Time
Clearance Level: Full Scope Polygraph
Education: Bachelor's degree in Engineering, Computer Science, IT, Cybersecurity, ETC.
Benefits: Competitive salary and bonus structure, Comprehensive health insurance, 401(k) with company match, Generous PTO, and remote work options.
Application: apply here, or on our Careers Page @ Careers - Metronome , email your resume to . Recommend this job and share with a friend.
About Metronome: We are a leading tech company dedicated to providing unique technical solutions with skilled teams of clear pros. Our purpose is to be a spark that ignites passion for our customers and each other. Our company, our teams, and our people are sparks. Our passion and energy ignite those we interact with and spread like wildfire. It's not a lofty dream or an overstatement. It's a fact. It's also our purpose. Check out our website at Home - Metronome .
Description: Metronome is looking for a Data Scientist to help prepare to consolidate data holdings across multiple operations disciplines. The Sponsor requires support to assess current data holdings, determine the extent of data holdings to merge, create a consolidated data model, and establish a process for cleaning up and migrating historical data. The work will be performed within a team environment with engagement across multiple contracts and organizational groups.
Work Responsibilities:
- The Data Scientist shall identify similarities and differences in data models between an enterprise relational database system (SQL) and an enterprise application with a document database system (Mongo) backend.
- The Data Scientist shall make recommendations for enterprise system updates to enable data currently stored in SQL to be housed by the Mongo system.
- The Data Scientist shall design, develop, test, and execute Python code to extract, transform, and load data from the SQL system into the Mongo system.
Work Requirements:
- The Data Scientist shall have the following required skills, certifications, and demonstrated experience:
- Demonstrated experience modeling data objects in relational and document (No-SQL) databases.
- Demonstrated experience designing and updating JSON data objects.
- Demonstrated effective communication while working in diverse teams.
- Demonstrated experience with REST APIs (GET, POST, PUT, and DELETE).
- Demonstrated experience with Python.
- Demonstrated experience with SQL.
DESIRED SKILLS:
- Skills and demonstrated experiences that are highly desired but not required to perform the work include:
- Demonstrated experience moving data between different networks.
- Demonstrated experience automating or scripting.