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Data Scientist - job 3 of 5

Responsibilities

Peraton is seeking a Junior Data Scientist. The Junior Data Scientist assists in interpreting results from a variety of analytic techniques, ranging from simple data aggregation to machine learning algorithms.  This position works directly with project, technical, and business leaders to identify analytical requirements. The Jr Scientist with work with the team to frame and seek answers to mission problems.

The Data Scientist will work on design and maintenance for end-to-end machine learning pipelines including data ingestion, transformation, continuous model updating, streaming analytics, and API delivered model prediction.  The Jr Data Scientist will visualize analytical results of analytical outputs and implement analytics into software applications.

 Essential Functions:

  • Involved in the analysis of unstructured and semi-structured data, using AI/ML techniques – deep learning, NLP, computer vision, large language models (LLMs) on hybrid, multi-cloud infrastructures.
  • Knowledge of traditional statistical methods, including but not limited to, regression models, survival analysis, classification methods clustering, projection, natural language processing, and others using Python and/or R.
  • Has the ability to make discoveries in the world of big data. Requires strong computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy applications using advanced unstructured and semi-structured data analysis techniques.
  • Executes sound data science methods from data preparation to modeling, test and evaluation using advanced tools and computational skills to interpret, connect, predict and make discoveries in complex data. Deliver recommendations for business and analytic decisions.

 Capabilities:

  • Ability to work in interdisciplinary teams effectively and drive projects to completion
  • Demonstrate strong competency in statistical research activities and in application of novel methods
  • Ability to learn, be proactive and motivated, and consistently focus on detail and execution
  • Experience managing statistical consulting projects with people outside the discipline
  • Ability to research and learn suggested approaches to complex problems and structure data properly for implementation of these methods

Qualifications

Required Qualifications: 

  • 0 years with BS/BA; 4 years no degree
  • Strong written and verbal communication skills and the ability to interact with technical and non-technical team members

  • Excellent organizational skills with ability to work on multiple projects/assignments simultaneously and meet deadlines and goals

  • Understanding mission problem, preparing data for modeling, evaluating and testing AI/ML models to build outputs that address business problems

  • Application of natural language processing, computer vision and LLM. Usage of R, Python packages, LLMs

  • Working knowledge of data retrieval methods, APIs, for ability to self-service data. Experience with software development, either with COTS or an open-source enterprise software development stack.

  • Experience with Cloud-based data analysis tools in Azure, AWS and/or Google.

  • Experience with visual analytic tools like Microsoft PowerBI, Tableau, etc.

  • Knowledge of responsible AI principles

  • Ability to learn new AI/ML techniques and technologies in a rapidly dynamic field.

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

$51,000 - $82,000. This represents the typical salary range for this position based on experience and other factors.

EEO

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

Average salary estimate

$66500 / YEARLY (est.)
min
max
$51000K
$82000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Peraton

Are you ready to kick-start your career as a Junior Data Scientist with Peraton? Located in Reston, you'll dive into an exciting world where analytics meets cutting-edge technology. In this role, you will assist in interpreting results from a variety of analytical techniques, contributing to projects that span simple data aggregation to complex machine learning algorithms. Working closely with project, technical, and business leaders, you'll identify analytical requirements and help frame solutions to mission challenges. You’ll design and maintain end-to-end machine learning pipelines that encompass data ingestion, transformation, continuous model updating, and more. Imagine the satisfaction of visualizing your analytical outputs and integrating them into software applications that truly make an impact! You'll have the opportunity to analyze unstructured and semi-structured data while leveraging your knowledge of statistical methods and programming languages like Python or R. At Peraton, we believe in fostering interdisciplinary collaboration, so your strong communication skills will shine as you work with diverse teams. If you’re passionate about discovering insights in big data and are eager to learn more about AI/ML techniques, we want to hear from you! With a salary range of $51,000 to $82,000, plus the opportunity to work within a mission-driven organization, this could be the beginning of something great.

Frequently Asked Questions (FAQs) for Data Scientist Role at Peraton
What are the responsibilities of a Junior Data Scientist at Peraton?

As a Junior Data Scientist at Peraton, you will assist in interpreting data using various analytics techniques, support the design and maintenance of machine learning pipelines, and visualize analytical results. Your role will involve working closely with project and technical leaders to address mission problems, making discoveries in large datasets, and contributing to the development of solutions using Python or R.

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What qualifications are required for the Junior Data Scientist position at Peraton?

To qualify for the Junior Data Scientist position at Peraton, you need a BS/BA degree, or a minimum of 4 years of experience without a degree. Additionally, strong written and verbal communication skills, experience with statistical methods, and familiarity with data analysis tools like Python, R, Azure, AWS, and knowledge of AI/ML principles are essential.

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How does a Junior Data Scientist at Peraton work with teams?

At Peraton, a Junior Data Scientist works effectively within interdisciplinary teams. You will engage with both technical and non-technical team members to drive projects to completion. Your ability to communicate findings and collaborate with others is crucial to the success of your projects and to addressing complex problems.

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What tools and technologies does a Junior Data Scientist at Peraton use?

A Junior Data Scientist at Peraton utilizes a variety of tools and technologies including Python, R, Microsoft PowerBI, Tableau, and cloud platforms like Azure and AWS. You'll also work with APIs for data retrieval and implement machine learning models using advanced analytics and visualization techniques.

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What is the salary range for a Junior Data Scientist at Peraton?

The salary range for a Junior Data Scientist at Peraton is between $51,000 and $82,000. This range is determined based on your experience, qualifications, and other relevant factors. Peraton offers competitive compensation and benefits for this dynamic position.

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Common Interview Questions for Data Scientist
Can you explain your experience with machine learning models?

In answering this question, focus on specific projects where you used machine learning techniques. Discuss the types of models you implemented, the challenges faced, and how you evaluated the models' performance. Highlight your understanding of concepts like model training, testing, and the importance of data quality in model development.

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How do you approach data cleaning and preparation for analysis?

To effectively respond, outline your process for data cleaning, emphasizing the importance of identifying and handling missing or inconsistent data. Mention tools or techniques you’ve used, such as data normalization or transformation, and how these steps contribute to accurate analytical outcomes.

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What programming languages are you proficient in for data analysis?

Discuss your proficiency in languages like Python and R for statistical analysis and data manipulation. Provide examples of libraries or frameworks you are familiar with, such as pandas in Python or tidyverse in R, and how you've applied these in past projects.

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Can you give an example of a time you worked on a team project?

Provide a specific instance where you collaborated with a team, detailing your role and contributions. Emphasize the importance of teamwork in achieving project goals and how communication and collaboration facilitated solving complex problems.

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What statistical techniques do you find most useful?

Mention statistical techniques such as regression analysis, classification, or clustering, and explain how you’ve applied these methods in real projects. Discuss their relevance to deriving meaningful insights from data and driving data-driven decisions.

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How do you stay updated with the latest trends in data science?

Detail your strategies for keeping current, such as subscribing to industry journals, participating in webinars, attending conferences, or engaging in online courses. Mention the importance of continuous learning in the fast-paced world of data science.

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Describe a challenging data problem you faced and how you resolved it.

Use this opportunity to showcase your problem-solving skills. Outline the challenge, your analysis process, the approaches you considered, and the solution you implemented. Highlight the positive outcome and what you learned from the experience.

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What role does visualization play in data science?

Explain that data visualization is crucial for interpreting and communicating insights drawn from complex datasets. Discuss tools you've used, such as Tableau or PowerBI, and how effective visualization can enhance stakeholder understanding and decision-making.

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How familiar are you with cloud-based data analysis tools?

Discuss your experience with cloud platforms like AWS, Azure, or Google Cloud. Include specific tools or services you have used for data storage, processing, or machine learning, and how they have improved your analytical capabilities.

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What is your approach to handling unstructured data?

Explain how you identify, process, and analyze unstructured data. Provide examples of techniques you have utilized, such as natural language processing or document clustering, and discuss the value that unstructured data can bring to your analyses.

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Our mission is to protect and promote freedom around the world by Securing our future, Connecting our world, Safeguarding our enterprise, Protecting our borders, Enabling commerce, Enhancing human knowledge, and Protecting our citizens.

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DATE POSTED
April 9, 2025

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