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  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Falls Church
  • Quick Apply

AI generated summary

  • You need 2+ years of experience in Python, data analysis, and machine learning, with a bachelor's degree or 6+ years in lieu. Skills in pandas, NumPy, and data visualization are essential.
  • You will analyze data, develop machine learning models, collaborate with teams, visualize insights, implement statistical analyses, write code, and integrate data pipelines using cloud platforms.

Requirements

  • Big Data, Data Analysis, Data Science, Python (Programming Language)
  • 2 + years of related experience
  • US Citizenship Required
  • Education: Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. In lieu of degree, 6+ years of experience with Python for data analysis, machine learning, or related fields.
  • Required Experience: 2 years of experience with Python for data analysis, machine learning, or related fields
  • Required Technical Skills: Experience working with open-source software and libraries like pandas, NumPy, scikit-learn, or similar
  • Required Skills and Abilities: Proficiency in using Jupyter Notebooks for data exploration and reporting. Solid understanding of statistics and data analysis techniques. Ability to write clear and maintainable code. Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly. Strong problem-solving skills and a collaborative mindset.
  • Preferred Skills and Abilities: Basic knowledge of computer science principles, including algorithms, data structures, and software development. Familiarity with cloud development environments (Azure, AWS, or GCP). Excellent communication skills with the ability to present technical concepts to non-technical stakeholders. Familiarity with Git or other version control systems. Knowledge of SQL and working with relational databases. Exposure to cloud platforms like Azure, AWS, or GCP.
  • Security Clearance Level: None required
  • Location: This is a hybrid position working in our GDIT facility in Falls Church, VA. Must be comfortable working onsite 2 days a week.
  • US Persons required

Responsibilities

  • Work with cross-functional teams to understand business problems and data requirements
  • Develop and deploy data analysis and machine learning models using Python and open-source libraries
  • Use Jupyter Notebooks for data exploration, visualization, and presenting insights
  • Implement basic statistical analyses (e.g., hypothesis testing, regression, correlation) to derive actionable insights from data
  • Collaborate with team members to build, test, and improve predictive models
  • Use basic computer science concepts like algorithms, data structures, and software engineering best practices in projects
  • Write clear, maintainable, and reusable code for data extraction, analysis, and reporting
  • Assist in the integration of data pipelines for the efficient collection, processing, and storage of data
  • Work with cloud platforms (e.g., Azure, AWS, GCP) to implement scalable data science solutions

FAQs

What is the job title for this position?

The job title is Data Scientist.

What is the required clearance level for this position?

There is no clearance level required for this position.

How many years of experience are required for this role?

A minimum of 2 years of related experience is required.

What educational background is preferred for applicants?

A Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field is preferred. However, in lieu of a degree, 6+ years of experience with Python for data analysis, machine learning, or related fields is acceptable.

What programming language should applicants be proficient in?

Applicants should be proficient in Python.

What kind of analysis techniques are expected to be used in this role?

Basic statistical analyses such as hypothesis testing, regression, and correlation should be employed to derive actionable insights from data.

What tools and libraries should the candidate be familiar with?

Candidates should have experience with open-source software and libraries like pandas, NumPy, scikit-learn, as well as data visualization tools such as Matplotlib, Seaborn, or Plotly.

Is travel required for this position?

Less than 10% travel is required for this position.

Are there opportunities for professional growth within the company?

Yes, there are professional growth opportunities including paid education and certifications.

What is the likely salary range for this position?

The likely salary range for this position is $77,350 - $104,650, but it may vary based on experience, geographic location, and contractual requirements.

What is the work location for this position?

The position is based in Falls Church, Virginia, and is a hybrid role requiring onsite work 2 days a week.

Is familiarity with cloud platforms necessary for this role?

Yes, familiarity with cloud platforms like Azure, AWS, or GCP is preferred.

What kind of collaboration is expected in this role?

The Data Scientist is expected to collaborate with cross-functional teams to understand business problems and data requirements.

What benefits are offered to employees?

Employees receive a comprehensive benefits package that includes medical, dental, vision plans, a 401(k) plan, paid time off, short and long-term disability benefits, and more.

Art of the possible.

Technology
Industry
10,001+
Employees
1962
Founded Year

Mission & Purpose

GDIT is a global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. GDIT is part of General Dynamics, a global aerospace and defense company. We have shared our clients’ sense of purpose for over half a century and have a have a unique understanding of their missions, complex environments, and a rapidly changing world. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.