Data Scientist Senior

Data Scientist Senior

The Data Scientist will support the Data Stewardship Program in Colorado Springs, CO. Meaningful work and personal impact as a Data Scientist you will be responsible for designing, implementing, and maintaining scalable data pipelines while analyzing complex datasets to drive meaningful insights. You will plan, execute, and manage end-to-end machine learning projects using cloud-native platforms and advanced ML tools. Your work will draw on a broad range of methodologies-such as data mining, natural language processing, and machine learning-to solve challenging problems and enable data-driven decision-making. As a Data Scientist you will also be responsible for applying strong programming, mathematical modeling, and statistical expertise to build applied models and communicate results clearly to stakeholders. You will work with large structured and unstructured datasets using distributed SQL, relational and non-relational data technologies, and languages such as Python and R. Your ability to translate analytical findings into actionable organizational value will be essential to success in this role.

Job duties (include but are not limited to):

• Interpret and analyze data using exploratory statistical and mathematical techniques.
• Clean, prepare, and organize structured and unstructured data using programming tools.
• Conduct experiments on data and generate insights to solve complex data challenges.
• Partner with Data Engineers to build and support scalable data environments.
• Apply scientific methods, statistics, and algorithms to define problems and test hypotheses.
• Build predictive and prescriptive models, NLP solutions, clustering, forecasting, and other advanced analytics.
• Design and automate processes for large-scale data manipulation and integration.
• Process and analyze large datasets using frameworks such as Spark and Hadoop.
• Conduct statistical modeling and develop visualizations using tools like Power BI, Tableau, or R Shiny.
• Design and implement algorithms using languages such as Python and R.
• Perform data engineering and modeling on cloud platforms such as Databricks, Snowflake, IBM Cloud Pak, or Cloudera.
• Communicate complex analytical results to non-technical audiences through clear data storytelling.

Required skills:

• Proficient with one or more programming languages (Java, C++, Python, R, etc.).
• Proficient in Agile Development and Git Operations.
• Demonstrated experience applying data science methods to real-world data problems.

What you'll need to succeed:

• Clearance: Current DoW SECRET clearance.
• Experience: 1 year of related experience.
• Education: Bachelor's degree in a STEM field.
• Role requirements: On-site with hybrid potential pending customer approval.
• Due to US Government Contract Requirements, only US Citizens are eligible for this role

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
• Community: Award-winning culture of innovation and a military-friendly workplace