Data Scientist

Req ID: RQ186430Type of Requisition: RegularClearance Level Must Be Able to Obtain: NonePublic Trust/Other Required: NoneJob Family: Data ScienceSkills:Big Data,Data Analysis,Data Science,Python (Programming Language)Experience:2 + years of related experienceJob Description:Data ScientistDeliver 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, ComputerScience, 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

The likely salary range for this position is $77,350 - $104,650. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. 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. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.