Sr Data Scientist / Analyst
Infotrend Inc
Washington, DC, United States
26 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Data Analysis
Big Data
Content Analysis
Extract Transform Load (ETL)
Data Security
Data Structures
Data Visualization
R (Programming Language)
Python (Programming Language)
Machine Learning
SQL Databases
+7 more
Tableau (Software)
Unstructured Data
Enterprise Software Applications
Information Technology
Data Delivery
Databricks
Programming Languages
Job description
- Work with large datasets and various types of data (customer, operational, transactional) found in federal government enterprise systems to develop, maintain and enhance reports, analysis and models
- Extract data from various IT systems using SQL and other programming languages
- Manage, review, validate, and secure data ingestion processes to ensure the accurate, complete, timely, and controlled transfer of data into a highly secure government data environment.
- Create clean, structured data sets for use in reports, analyses, studies and both AI/ML and non-AI/ML models.
- Develop and maintain ETL/ELT workflows for structured and unstructured data.
- Conduct both qualitative and quantitative research using client data, formulate hypotheses, test them and present the results in a clear and concise manner.
- Use advanced statistical techniques to identify and measure trends, anomalies and determine other relevant insight.
- Create visualizations and other tools that allow users to interact with data.
Requirements
- Expertise in Python and/or R, SQL and Databricks or similar software.
- Ability to quickly understand complex data structures and formulate queries to extract information as needed
- Ability to build both simple and complex analytical, statistical, AI/ML or other model using client data that fulfill a quantitative purpose/problem asked by the client.
- Ability to integrate large datasets and ETL workflows with Business Intelligence (BI) platforms such as Tableau, including preparing, optimizing, and exposing data for visualization, analytics, and reporting.
- Experience developing and managing data connections between Databricks, SQL-based data sources, Python workflows, and BI tools such as Tableau, ensuring reliable, performant, and scalable data delivery for dashboards and automated reporting.
- Ability to quickly understand the operational underpinnings of data found in enterprise systems
- Ability to quickly understand client business requirements using a variety of methods such as interviews, document analysis, and self-directed research.
- Ability to think analytically, outside-the-box, and dive to the root cause of situations.
- Ability to successfully engage in multiple initiatives simultaneously and prioritize appropriately.
- Ability to gather and interpret large amounts of data and information and quickly recognize what is superfluous and what is relevant using analytical and statistical techniques.
- Excellent verbal and written communication skills and ability to interact professionally.
- Ability to obtain and maintain a Public Trust Security Clearance.
- U.S. Citizenship.
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