Computer Science, Customer Relations, Data Analysis, Data Cleaning, Data Mining, Data Modeling, Data Processing, Data Science, Data Sets, Data Visualization, Database Programming, Information Technology & Information Systems, Research Laboratory, Statistical Analysis System (SAS), Statistical Programming Languages, Structured Data, Technical Leadership, Technical/Engineering Design, Trend Analysis, United States Air Force (USAF), Unstructured Data, Willing to Travel
Currently, RG is looking to hire a Data Science Lead. The Data Science Lead is an exempt customer-facing business professional that provides a variety of services directly related to the customer's overarching mission.
Additionally, the Data Science Lead will be responsible for:
- Providing advanced analytics, ML model design, technical leadership.
- Collecting, analyzing and interpreting large data sets to identify trends, patterns, and provide key business insights.
- Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases.
- Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools.
- Maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support.
- Designs, develops, and implements the most valuable data-driven solutions for the organization.
- Works autonomously, but may provide a leadership role for the work group through knowledge in the area of specialization.
Required Skills
The Data Science Lead is an experienced visualization professional who combines technical expertise with design sensibility. This individual translates complex data into clear visual stories that drive operational decision-making.
Required Experience
To be successful in this role, all candidates must meet the below qualifications to be considered.
- Masters degree in computer science, information systems, design, or a related field
- 10+ years of data science experience
- Ability to travel 5% to Oklahoma City, OK and/or Fairfax, VA
- Current NACI or ability to obtain
Bring the WOW Factor:
In addition to our core requirements that are an absolute must for this role, we want to highlight some of the qualifications that we consider to "Bring the WOW Factor". Below are some of those "WOW Factors" that we would love to have, but that are not considered hard requirements to do the job.
- Experience working in or with the US Air Force Research Lab (AFRL)
- Living inside Oklahoma City, OK or the surrounding areas
Physical Requirements & Disclaimer:
Sedentary work: Exerting up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required, only occasionally and all other sedentary criteria are met. EOE, including disability/vets