Data Science

Job Description

Responsibilities

• Analyze product-definition data for trends, patterns, and dependencies that inform decisions.
• Build and refine analytical models for future-state validation and Capability Review Plan processes.
• Use Python and SQL to extract, transform, and analyze data from varied sources.
• Apply data science and analytics techniques to support product and process improvements.
• Use Git to manage, track, and collaborate on analytics code and related artifacts.
• Prepare clear, data-driven insights and recommendations for stakeholders.
• Maintain data quality and consistency throughout analysis and modeling.
• Work with cross-functional teams to translate data requirements into analytical solutions.

Essential Skills

• 5 to 10 years of experience in data analysis, data science, or a closely related field.
• Bachelor's degree in Data Science, AI/ML, Computer Science, or Information Technology.
• Strong Python proficiency for data analysis and modeling.
• Hands-on SQL experience for querying and manipulating data.
• Git experience for version control and collaborative development.
• Ability to analyze complex product-definition data and identify patterns and dependencies.
• Experience building analytical models for business or technical decision-making.
• Ability to support future-state validation and Capability Review Plan activities through rigorous analysis.

Additional Skills and Qualifications

• Education in Data Science or AI/ML supporting advanced analytical and modeling work.
• Ability to present analytical findings clearly and concisely to non-technical stakeholders.
• Strong problem-solving skills and attention to detail with large, complex data sets.
• Ability to collaborate with cross-functional teams and adapt to evolving analytical requirements.

Work Environment

• The role follows standard business hours in a professional, technology-driven environment.
• Work is performed in an office or hybrid setting with cross-functional collaboration.