Data Scientist

Booz Allen Hamilton

5d

About The Position

Data Scientist The Opportunity: As a Data Scientist, you have a passion for going beyond simple analysis to build predictive models and algorithms. You thrive on the challenge of transforming vast amounts of structured and unstructured data not just into insights, but into machine learning and artificial Intelligence solutions to solve complex challenges. As a client facing Data Scientist on our team, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast paced, Agile environment. You’ll apply your deep knowledge of machine learning and statistical modeling as you lead the design, development, and deployment of predictive models for your clients. You will also work closely with your clients to understand their questions and challenges, and then architect data-driven solutions within their data rich environments. Not only will you build models to predict future outcomes, but you’ll also advise your client on what these predictions mean and how they can be used to proactively shape mission success. Join us. The world can’t wait.

Requirements

• Experience with designing, building, or maintaining cloud data environments such as Azure and AWS
• Experience with leading or mentoring technical teams of data analysts, engineers, or developers
• Experience with data visualization techniques and tools, including Power BI, Tableau or Microsoft Fabric, and Spark or PySpark for data analysis
• Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis
• Experience transforming data patterns into predictive insights and deploying data driven solutions
• Experience in data validation, feature engineering and preparing complex data sets for machine learning
• Experience building and automating data pipelines and workflows
• Knowledge of statistical analysis and with modeling techniques, including regression, classification and clustering
• Secret clearance
• Bachelor's degree

Nice To Haves

• Experience developing custom data-driven applications or user interfaces for data input and visualization
• Experience with DoD data platforms, including Advana, MCS-COP Foundry, ADE, or similar systems
• Experience with Agile methodologies
• Experience with working on real-time data and streaming applications
• Knowledge of USMC mission and structure
• Ability to develop scripts and programs for converting various types of IoT and sensor data into usable formats
• Ability to communicate technical information and recommendations to peers, engineers, and analytic customers
• TS/SCI clearance
• Master's degree
• Certified Analytics Professional (CAP) Certification

Benefits

• health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees