Data Scientists - Money Fit by DRS : Job Details

Location: Hawaii Quantity: 2 Salary Range:

• Senior: $140,000 - $170,000
• Master: $170,000 - $210,000

Responsibilities:

• Data Analysis: Perform advanced data analysis to extract meaningful insights from large datasets.
• Machine Learning: Develop and implement machine learning models to support intelligence operations.
• Algorithm Development: Create algorithms to automate data analysis and enhance efficiency.
• Data Visualization: Use tools like Excel, Tableau, and Power BI to visualize data and present findings.
• Collaboration: Work with cross-functional teams to integrate data science solutions into broader intelligence efforts.
• Reporting: Produce comprehensive reports on data findings and model performance.
• Training and Mentorship: Provide training and mentorship to junior data scientists, sharing knowledge and best practices.

Requirements:

• Experience: Minimum of 10 years of experience in data science, with specific experience in Department of Defense (DoD) and US Navy data analysis and operations.
• Applied Data Science: Strong background in applied data science, including machine learning and artificial intelligence.
• Model/Algorithm Development: Familiarity with creating models/algorithms for automating the analysis and evaluation of very large datasets.
• Technical Proficiency: Proficiency in using advanced data analysis and visualization tools such as Excel, Tableau, and Power BI.

Preferred Skills:

• Programming Languages: Proficiency in programming languages such as Python, R, or SQL.
• Data Visualization: Extensive experience with data visualization tools like Tableau or Power BI to present findings clearly.
• DoD and US Navy Experience: In-depth understanding of DoD and US Navy data requirements, protocols, and security measures.
• Machine Learning Frameworks: Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
• Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, or similar platforms.
• Communication Skills: Excellent written and verbal communication skills for producing detailed reports and presenting findings to stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with other analysts and intelligence professionals.