ResponsibilitiesThe 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.
Other duties may include:
- Oversee one or more software development teams and ensure the work is completedin accordance withthe constraints of the software development process being used on anyproject.
- Produce data visualizations that provide insight into dataset structure and meaning.
- Work with subject matters experts (SMEs) toidentifyimportant informationin 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.
- Develop Al and machine learning models to address complex problems.
- Develop andoptimizeLarge Language Models (LLM) for various NLP tasks and information retrieval.
- Develop and implement statistical, machine learning, and heuristic techniques to createdescriptive, predictive, and prescriptive analytics.
- Develop statistical tests to make data-driven recommendations and decisions.
- Develop experiments to collect data or models to simulate data whenrequireddata areunavailable.
- Develop feature vectors for input into machine learning algorithms.
- Identify the mostappropriate algorithmfor a given dataset and tune input and model parameters.
- Evaluate andvalidatethe performance of analytics using standard techniques and metrics (e.g.cross validation, ROC curves, confusion matrices).
- Oversee the development of individual analytic efforts and guideteamin analyticdevelopment process.
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Qualifications
Basic Qualifications:
- Bachelor's degree from an accredited college or university inquantitativediscipline (e.g., statistics, mathematics, operations research,engineering,or computer science) and five (5) years of experience analyzing datasets and developing analytics using data analysis software such as R, Python, SAS, or MATLAB.
- Anadditionalfour (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for aBachelor'sdegree.
- AMaster'sdegreein anaccredited college oruniversitycan be substitutedfortwo (2) years of experience. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.
- Experience with utilizing GPU-based computing resources to accelerate model training and deployment.
- Active TS/SCI security clearance with a current polygraph is required
Desired Qualifications:
- Expereince in one of the following:
- Designing/implementing machine learning, data science, and advanced analytical algorithms capabilities developed in at least one high-level programming language(e.g.Python)
- Statistical analysis (e.g.variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
- Data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.
Target Salary Range$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual27s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
