Data Scientist

Responsiblties:

• Performs a broad range of data analyses assignments entailing unique problems, creativity, innovative use of techniques, advance approaches, and/or new technology in support of CCI EMSO objectives.
• Conducts expert-level research in the areas of analytical technologies and business processes to recommend methodologies authoritatively to better leverage data analytics in support of CDM CCI EMSO objectives.
• Performs authoritative analysis of complex user requirements and design programs to support them. Interfaces with senior leadership on complex data problems, makes sound recommendations, and implements data decisions based on expert scientific data principles and affordable solutions.
• Prepares and delivers authoritative written and oral presentations such as briefings, training sessions, consultations, and strategy sessions with other staff services functions and activities to secure cooperation, resolve controversial matters, and convey information relative to precedential findings.

Requirements:

• U.S. Citizenship Required.
• All new DCIPS employees are required to complete a two-year DCIPS trial period.
• This position is subject to provisions of the DoD Priority Placement Program.
• Must be registered for Selective Service, see Legal and Regulatory Guide.
• Employee must maintain current certifications.
• Disclosure of Political Appointments.
• Direct Deposit: All federal employees are required to have direct deposit.
• Advance in hire may be authorized if there is demonstrable proof provided on your resume.
• Mobility is a condition of employment. The employee must sign an Air Force-wide mobility agreement.
• The employee may be required to travel in military and/or commercial aircraft to perform temporary duty assignments.
• A Bachelor of Science degree from an accredited institution in mathematics, computer science, one of the physical sciences, engineering, or a closely related scientific discipline is highly desired. Advanced degree(s) are preferred.
• Must exhibit a high degree of judgment, resourcefulness, originality, and the ability to foresee the impact of changing technology.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.