Data Scientist

You will be responsible for developing automated tools, conducting data mining, enhancing data collection procedures, and supporting various analytical and IT initiatives in supporting water resources projects. This role will directly support the customer's mission through the creation of intelligence products and automated systems that streamline processes and enhance operational efficiency.

Key Responsibilities:

• Select features, build, and optimize classifiers using machine learning techniques.
• Supporting water resources projects through data analysis, predictive modeling, and the application of statistical techniques to optimize water management, forecast trends, and ensure regulatory compliance.
• Create usable tools and systems to streamline processes and reduce manual resource hours.
• Utilize advanced methods to mine large data sets from various sources.
• Produce intelligence products that support USPIS strategies and missions.
• Enhance product results by integrating third-party data where applicable.
• Automate repetitive processes and include relevant data for analytical systems.
• Process, cleanse, and verify the integrity of collected data.
• Perform ad-hoc analysis and present results clearly through presentations, written documents, graphs, and charts.
• Develop and implement an automated anomaly detection system with performance tracking.
• Assist with general IT support tasks as needed within the CI2 and CI2 NTC environment.
• Support and enhance Cloud resource hosting solutions for APOLLO, HYDRA, and ORION.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field (Master's degree preferred).
• Experience in supporting Water resources projects.
• Proven experience in developing machine learning models and automated tools.
• Strong expertise in data mining and the use of state-of-the-art methods.
• Experience with third-party data integration and enhancement.
• Proficiency in data collection, processing, and verification.
• Ability to conduct and present ad-hoc analysis clearly and effectively.
• Experience with anomaly detection systems and performance tracking.
• General IT support skills and familiarity with USPS and USPIS policies.
• Experience with Cloud resource hosting solutions is a plus.
• Strong analytical, problem-solving, and communication skills.