Data Scientist

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

None

Job Family:

Data Science

Job Qualifications:

Skills:

Big Data, Data Analysis, Data Science, Python (Programming Language)

Certifications:

Experience:

2 + years of related experience

US Citizenship Required:

Job Description:

Data Scientist

Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends on a Data Scientist joining our team to collaborate with a dynamic team of data scientists, engineers, and analysts to develop models and derive insights from data to support business decisions. This role is perfect for someone with a strong foundation in Python and Jupyter Notebooks, proficiency in statistics, and a desire to apply data science to solve real-world problems.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT:

• 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

WHAT YOU’LL NEED TO SUCCEED:

• 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

GDIT IS YOUR PLACE:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

#gditergs

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