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Data Scientist

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Peraton

3mo ago

  • Job
    Full-time
    Senior & Expert Level
  • Data
    Software Engineering
  • Germany, +11
    Remote

AI generated summary

  • You must be a U.S. citizen with a relevant degree and experience, proficient in Python, machine learning, data pipelines, and databases, with strong problem-solving and communication skills.
  • You will analyze telemetry data, identify trends, develop predictive models, create data pipelines, and collaborate with teams to enhance business outcomes while presenting insights effectively.

Requirements

  • U.S. Citizenship Required; Must have the ability to obtain / maintain an Secret security clearance.
  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related field with 8 years' experience or Master's degree in Data Science, Statistics, Mathematics, or a related field with 6 years' experience or HS Diploma/equivalent and 12 years of experience.
  • Experience as a Data Scientist or in a similar role.
  • Proven experience in analyzing telemetry data and applying data science methodologies to real-world problems.
  • Proficiency in Python.
  • Strong knowledge of machine learning algorithms and statistical methods.
  • Experience with data engineering patterns and building data pipelines (e.g., ETL processes).
  • Familiarity with cloud services (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
  • Experience with relational SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB).
  • Comfortable working with machine learning libraries and frameworks (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
  • Excellent problem-solving and analytical thinking abilities.
  • Strong communication skills, both written and verbal.
  • Ability to work independently and collaboratively within a team.
  • High degree of initiative, self-motivation, and ability to motivate others.
  • Ability to maintain confidentiality of proprietary information.
  • Experience in an IT environment or with operational data is a plus.

Responsibilities

  • Process and analyze large volumes of telemetry data. (Logs and Metrics).
  • Identify patterns, trends, and anomalies to improve system monitoring and performance.
  • Develop predictive models to anticipate potential system issues and optimize monitoring processes.
  • Collaborate with cross-functional teams to identify opportunities where data science can enhance business outcomes.
  • Develop and implement machine learning models to solve complex business challenges across various domains.
  • Contribute to the training and deployment of models for different datasets, including customer behavior, operational efficiency, and more.
  • Design and build efficient data pipelines and ETL processes to prepare data for analysis and modeling.
  • Work with both structured and unstructured data, ensuring data quality and integrity.
  • Apply advanced statistical techniques and machine learning algorithms to extract insights from large datasets.
  • Stay updated with the latest advancements in AI and machine learning to introduce cutting-edge solutions.
  • Create clear and compelling data visualizations to communicate findings to stakeholders.
  • Present complex data insights in an understandable manner to both technical and non-technical audiences.
  • Work closely with IT and other departments to integrate data insights into business strategies.
  • Provide guidance and mentorship to junior data scientists or team members as needed.
  • Explore new tools, technologies, and methodologies to enhance data analysis and modeling processes.
  • Contribute to a culture of continuous improvement by sharing knowledge and best practices.

FAQs

Do we support remote work?

Yes, this position is 100% remote.

Is U.S. Citizenship required for this position?

Yes, U.S. Citizenship is required and the applicant must have the ability to obtain and maintain a Secret security clearance.

What is the educational requirement for this Data Scientist position?

A Bachelor's degree in Data Science, Statistics, Mathematics, or a related field with 8 years of experience, or a Master's degree in the same fields with 6 years of experience, or a high school diploma/equivalent with 12 years of experience is required.

What programming languages are necessary for this role?

Proficiency in Python is required.

Are there specific machine learning libraries that candidates should be familiar with?

Yes, candidates should be comfortable working with libraries and frameworks such as Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.

Is experience with cloud services and big data technologies important for this role?

Yes, familiarity with cloud services such as AWS or Azure and big data technologies like Hadoop or Spark is preferred.

What soft skills are required for the position?

Excellent problem-solving and analytical thinking abilities, strong communication skills, a high degree of initiative and self-motivation, as well as the ability to work independently and collaboratively within a team are important.

What kind of experience is preferred but not required for this role?

Experience in an IT environment or with operational data is preferred.

What is the target salary range for this Data Scientist position?

The target salary range is $135,000 - $216,000, which is based on experience and other factors.

What benefits does Peraton offer to its employees?

Peraton offers a range of benefits including comprehensive medical plans, paid time off, retirement plans, life and disability insurance, tuition assistance, paid parental leave, and additional benefits related to medical, dental, and vision care.

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Peraton

Fearlessly solving the toughest national security challenges.

Technology
Industry
10,001+
Employees

Mission & Purpose

Do the can't be done. At Peraton, we're at the forefront of delivering the next big thing every day. We're the partner of choice to help solve some of the world's most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure. How do we do it? By thinking differently. We're not mired in the past. We look at all problems with fresh eyes. We look past the obvious to bring the best talent, tech, and ideas together to completely transform how things get done. So bring your unique ideas, your entrepreneurial spirit, and your drive to succeed and get ready to be part of something bigger. Get ready to do the can't be done.