Prime Time Consulting provides clients with expert intelligence analysis services. Our clients include defense contractors, industrial and service corporations, and departments and agencies of the U.S. Federal Government.
We are actively searching for Data Scientist Skill Level 2, located in Maryland, to support our team. We have varying levels of this position, depending on years of experience and education.
Essential Job Duties
- A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.
Additional Job Duties
- Produce data visualizations that provide insight into dataset structure and meaning
- Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)
- Incorporate SME input into feature vectors suitable for analytic development and testing
- Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
- Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
- Develop statistical tests to make data-driven recommendations and decisions
- Develop experiments to collect data or models to simulate data when required data are unavailable
- Develop feature vectors for input into machine learning algorithms
- Identify the most appropriate algorithm for a given dataset and tune input and model parameters
- Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
- Oversee the development of individual analytic efforts and guide team in analytic development process
- Make recommendations for analytic development toward solutions that can scale to large datasets
- Collaborate with software engineers, cloud developers, and appropriate stakeholders to develop production analytics
- Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
Required Qualifications
- Bachelor"s from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
- Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
- An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master"s degree.
- A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.
Company Perks
- 200 hours of PTO annually
- 6% 401k Contribution
- Competitive Health Care Options
- Short Term/Long Term/Life Insurance
- Annual Training Budget
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, sex, age, national origin, disability, Veteran status, or any other category protected by federal, state, or local laws.
The pay range for this role is:115,000 - 145,000 USD per year(PTC - MD)
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