Data Scientist

LufCo • Aberdeen, MD

32d • Onsite

About The Position

The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets related primarily to signals data. This role will mix research and development to play a key role in LufCo's never-ending pursuit of the cutting edge.
This role is best suited for someone with a PhD in quantitative discipline who enjoys researching and building. The ideal candidate can seamlessly and autonomously navigate the shift between independent and collaborative tasking.

Requirements

• Graduate degree in a quantitative discipline (statistics, mathematics, operations research, computer science, etc.).
• Masters is acceptable, but PhD is preferred.
• 5+ years or more experience working in a titled, or related, Data Scientist role.
• Experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• Hands-on experience training models for machine learning and writing artificial intelligence focused algorithms.
• Excellent task management.
• Strong written communication.
• Ability to travel as required.
• Standard office environment with occasional requirements to visit client sites, labs, or field environments.
• TS/SCI (able to process, US citizenship is a must)

Responsibilities

• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
• Prototype algorithms to target the most suitable model for the specific dataset/metrics.
• Build models or develop experiments to generate data when training models.
• Generate reports and/or visualizations that summarize datasets and provide data-driven insights to customers.
• Partner with subject matter experts to understand the source and output goals of datasets.
• Translate customer goals into quantitative formulations.

Benefits

• Competitive Pay: Salaries depend on labor category, years of experience, education, skills relevant to the position, and type of contract.
• Benefits: Including Paid Time Off; 401K Contribution and Employer Match Contributions; and Medical, Dental, and Vision Coverage.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree