Data Scientist, Level 2

At Independent Software, as a Data Scientist Level 2, you will analyze complex datasets and develop data-driven solutions supporting mission-critical Intelligence Community and DoD programs.

Depending on the program, you may work with machine learning, artificial intelligence, predictive analytics, data visualization, workflow automation, or other advanced analytical techniques.

This position is ideal for candidates who enjoy solving complex problems, building analytical solutions, and working with large datasets in secure environments.

• Analyze structured and unstructured datasets to identify trends, patterns, and actionable insights.
• Develop analytical solutions using Python and modern data science tools.
• Build and automate data processing workflows.
• Create visualizations, reports, and dashboards to communicate findings.
• Develop statistical, predictive, or machine learning models.
• Collaborate with engineers, analysts, and customer stakeholders to solve mission problems.
• Document methodologies and communicate technical findings to both technical and non-technical audiences.
• Strong proficiency with Python and experience developing scripts, automating workflows, or building analytical solutions.
• Experience analyzing large structured and unstructured datasets using statistical, mathematical, or computational methods.
• Experience with one or more of the following: machine learning, artificial intelligence, predictive analytics, data mining, data engineering, or data visualization.
• Experience cleaning, transforming, and preparing data for analysis.
• Ability to communicate technical findings clearly to both technical and non-technical audiences.
• Strong analytical, critical thinking, and problem-solving skills.
• Ability to work independently while collaborating effectively within a team environment.
• Experience using analytical tools and technologies such as SQL, Jupyter Notebook, Pandas, NumPy, Spark, PySpark, Hadoop, cloud-based analytics platforms, or similar technologies is desired.