Data Scientist 1 - TS/SCI w/poly

Peraton; Laurel (MD); On-site; USD 146,000 - 234,000; Full time

Benefits offered by this job

25 days PTO

Bonus plan

Job summary

Peraton is seeking a Data Scientist to develop machine learning, data mining, and statistical algorithms to analyze datasets, prototype models, and generate data when datasets are unavailable. You will build production-ready analytics and collaborate with SMEs to translate manual analysis into automated workflows.

The role includes creating data visualizations, overseeing analytics efforts, and developing NLP/LLM and descriptive, predictive, and prescriptive analytics while adhering to SDLC

Qualifications

• Bachelor's degree in statistics, mathematics, OR/and computer science with 5+ years analyzing datasets and building analytics in R/Python/SAS/MATLAB.
• An additional 4 years of experience in software/cloud development or analytics can replace the degree.
• Master's degree can substitute for 2 years; PhD can substitute for 4 years.
• Experience using GPU-based resources to accelerate model training and deployment.
• Active TS/SCI clearance with current polygraph is required.

Responsibilities

• Develop ML, data mining, statistical, and graph-based algorithms to analyze datasets.
• Prototype and select final models based on performance metrics.
• Build experiments to generate data when training data is unavailable.
• Create reports and visualizations for data-driven insights for customers.
• Partner with SMEs to automate analytics in analyst workflows.
• Oversee multiple software teams to ensure delivery within SDLC constraints.

Education

Bachelor's degree in quantitative discipline

Master's degree or PhD substitutions (experience-based)

Tools

Python

R

SAS

MATLAB

GPU computing

Job description

Responsibilities

The 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.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

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 individual’s 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.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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