Data Scientist, Level 2

Key Responsibilities

• 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.

Required Skills And Qualifications

• 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.

Education And Experience

• Bachelor's degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related technical discipline.
• Associate's degree with five (5) years of relevant experience, or Bachelor's degree with three (3) years of relevant experience.
• Relevant experience includes one or more of the following: machine learning, data science, advanced analytics, statistical analysis, programming (such as Python), data management, data mining, data modeling, artificial intelligence, or software engineering.
• Candidates with other degree disciplines may qualify if they have earned a Data Science certificate from an accredited college or university.
• Experience across multiple areas is preferred.

Clearance Requirement

Must possess an active TS SCI with appropriate Polygraph to be considered for this role

Why Choose Independent Software

• Our people are the mission.
• We make sure our team has the tools and support to grow, succeed, and thrive.
• We support critical national security missions that matter.
• We are part of a close-knit, employee-first culture where your voice is heard.
• We expand your skills through ongoing training, mentorship, and career development.
• We offer competitive compensation, generous benefits, and work-life balance.