Data Scientist

Location: Vienna, Virginia - Remote
Category: Data
Employment Type: Contract
Job ID: 16244
Date Added: 02/12/2024

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Data Scientist

Our fortune 100 credit union client is looking for a Data Scientist to join their team on a hybrid schedule in Vienna, VA. (1 day/week). 

**NO C2C arrangements!. Candidates must be GC Holder, GC EAD, or US Citizen to be considered**
-Hybrid 1 day/ week in Vienna ,VA
– $70-$73/hr. 
– Contract role, with long term potential

  • Build and enhance Non-SQL/SQL based data analytics processes through all phases of development, implementation, and upkeep.
  • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
  • Create and maintain reporting dashboards to deliver data insights to a wide range of consumers.
  • Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects.
  • Develop data science solutions utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures.
  • Perform other duties as assigned.
Minimum Requirements:
  • Minimum Requirements:
  • Must be US Citizen, GC EAD, or GC Holder to be considered. 
  • We can't do C2C arrangements. This is a W2 contract. 
  • Bachelor’s or higher degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics.
  • Hands on programming skills in Python and using various libraries to extract a variety of unstructured datasets (e.g., Images, Streaming videos, pdf data, websites) for analytical purposes.
  • Strong understanding of statistics, data structures, data modeling concepts and practices.
  • Hands on experience in writing SQL, Stored Procedures, and other data transformation and engineering tasks.
  • Recent experiences (2-5 years) in the Data Science field with ability to communicate and walk through end-to-end data science solutions (e.g., Supervised/Unsupervised ML, LLM).
  • Hands on experience in Azure Cloud Infrastructure ( e.g., Cosmos DB, Databricks, Azure SQL, Azure Blob Storage, ADF) to perform a variety of data engineering and data science tasks.
  • Hands on experience in Relational Databases relational database management systems such as MySQL, PostgreSQL, Microsoft SQL Server, Oracle Database, and SQLite.
  • Hands on experience in one or more visualization tools (E.g., Plotly, Seaborn, Power BI).
  • Self-starter with advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
  • Experience with supervised/unsupervised machine learning model development in areas of clustering, classification and/or regression.
  • Must have hands on experience with and knowledge of security concepts or cybersecurity frameworks within the financial services industry. 

  • Advanced degree in in computer science, mathematics, physics, statistics, or related field.
  • Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages/frameworks appropriate for large data analysis.
  • Experience with supervised/unsupervised machine learning model development in areas of clustering, classification and/or regression.
  • Experience with No-SQL databases such as MongoDB and Cassandra
  • Experience with API end point connection and configuration for complex data pipelines.
  • Experience establishing data governance principals as part of the data ingestion process.
  • Experience working with Agile principals utilizing Azure DevOps or similar systems.
  • Experience working in the Financial Industry