Data Scientist
Accenture Federal Services
About the Role
Accenture Federal Services is seeking a talented and motivated Data Scientist to perform advanced data analysis using statistical and quantitative methods, develop impactful visualizations to support decision-making, and create software solutions to monitor and manage data pipeline tasks. This role requires a strong technical background in data manipulation, AI/ML technologies, and database systems, paired with the ability to generate actionable insights from complex datasets.
Key Responsibilities
- Conduct data analysis using statistical and quantitative methods to extract insights and support data-driven decision-making.
- Develop visualizations to communicate analytical results effectively to diverse stakeholders.
- Design and implement software solutions to monitor and manage data pipeline tasks.
- Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data.
- Perform data manipulation, extract-transform-load (ETL) processes, and utilize database technologies (SQL and NoSQL).
- Leverage AI/ML technologies to drive innovation and solve complex data challenges.
Requirements & Tech Stack
- Experience working with AI/ML technologies and data systems.
- Experience working with multiple file types including JSON, XML, etc.
- Experience in quantitative analysis, visualization development, and processing complex data to produce actionable insights.
- Experience with data manipulation and ETL procedures.
- Knowledge of database technologies, including SQL and NoSQL.
- Development experience in Python, libraries, and other programming languages for data cleaning and manipulation.
Preferred Qualifications
- Experience applying Natural Language Processing (NLP) algorithms to extract data from documents.
- Familiarity with enterprise Computer Vision applications, automated data collection, reporting, and data standardization best practices.
- Expertise in math, statistics, and quantitative analysis, with experience in techniques such as classification, regression, clustering, data reduction, and causal modeling.
Security Requirements
- TS/SCI level clearance or higher required.