Junior Data Scientist

• Work with government staff to gather, document, and clarify requirements for analytics projects, and translate them into design documents.
• Clean, standardize, filter, and link large datasets from multiple sources to prepare them for analysis and reporting.
• Build reports, dashboards, and visualizations that present data in clear, meaningful, and actionable ways.
• Profile and monitor data streams to identify, log, and investigate data quality issues related to completeness, uniqueness, timeliness, validity, accuracy, and consistency.
• Help write validation logic and programs using SAS, SQL, and/or Python to test historical and incoming data against specifications.
• Support data quality scorecards and dashboards that track quality trends across data streams.
• Write, run, and optimize SQL queries to support complex data requests.
• Test your work thoroughly, document results, and prepare user instructions and project close-out documentation.
• Submit weekly status updates and keep project documents and source code organized in version-controlled repositories.
• Contribute lessons learned and ideas for process improvements to the broader team.

• Bachelor’s degree in Computer Science, Math, Statistics, Finance, Economics, or a related field.
• At least 1 year of experience working as a data analyst (full-time, part-time, or internship).
• Experience using data analysis tools or languages such as SQL, SAS, Python, or R.
• Experience with business analysis, including planning design sessions, gathering requirements, and converting them into design documents.
• Ability to work well with team members and communicate clearly in writing and in person.
• Ability to obtain and maintain a federal background investigation; U.S. work authorization required, with employment eligibility verified through E-Verify.
• Preferred: exposure to financial, trading, or regulatory data such as swaps, futures, options, or clearing data.
• Preferred: experience with SQL Server (SSMS/SSIS), AWS, or other cloud data environments.
• Preferred: experience with BI and visualization tools such as AWS QuickSight or MicroStrategy.
• Preferred: familiarity with advanced Excel, SharePoint, or version control tools.
• Preferred: interest in data quality, validation, and data governance, plus experience writing technical documentation and presenting findings., * Bachelor’s (Required)

Experience:

• Data Science: 1 year (Required)
• SQL, Python, Tableau: 1 year (Required)

• Dental insurance
• Health insurance
• Paid time off
• Parental leave
• Professional development assistance
• Retirement plan
• Vision insurance