Data Scientist (1)

PLEASE READ THOROUGHLY TO AVOID REJECTION.Eligibility: Open to both C2C and W2 options.Location: Hybrid work model, reporting to Vienna, VA.Minimum of 5 years of relevant experience required.Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience).Green card/USC Required - no sponsorship.Role Overview:We are seeking an experienced Data Scientist to join our team on a multiyear contract. The ideal candidate will have expertise in data analysis, SQL/Python programming, and data visualization tools to deliver impactful insights to a wide range of consumers. This role involves collaborating with cross-functional teams, developing data solutions, and implementing processes using on-premises and cloud computing infrastructures.Key Responsibilities:Build and enhance SQL/Non-SQL-based data analytics processes through all phases of development and upkeep.Analyze large-scale complex numerical and textual data to identify trends and unlock insights.Develop and maintain reporting dashboards to deliver actionable data insights.Collaborate with data engineers, machine learning engineers, and data visualizers to deliver projects.Utilize Microsoft Azure Cloud Computing Infrastructure and on-premises solutions for data science projects.Perform other duties as assigned.Mandatory Qualifications:Minimum of 5 years of experience in: Data analysisSQL and Python programmingPlotly Enterprise or Power BI developmentStrong understanding of database design, data mining, and data modeling concepts.Experience with ETL processes and data integration techniques.Proven ability to create effective data visualizations using Power BI and/or Plotly Enterprise.Advanced communication and presentation skills to effectively deliver technical and non-technical information to all levels of management.Preferred Qualifications:Advanced degree in Computer Science, Mathematics, Physics, Statistics, or a related field.Expertise in Python, Jupyter Notebook/Lab, Visual Studio Code, or similar tools for large-scale data analysis.Experience with supervised/unsupervised machine learning model development (clustering, classification, regression).Familiarity with API endpoint configuration and data pipeline management.Knowledge of data governance principles and their implementation in data ingestion processes.Experience working with Agile principles and utilizing tools like Azure DevOps.Background in cybersecurity frameworks and related data management.#J-18808-Ljbffr