Associate Data Scientist

SageSure is a growing company and leader in catastrophe-exposed property insurance. The Associate Data Scientist will analyze data, support predictive and statistical modeling, and deliver insights that inform business decisions while collaborating with data scientists, engineers, and cross-functional stakeholders.

What you'll do:

• Analyze large, complex datasets to perform exploratory data analysis, identify trends, and generate actionable insights
• Support the development, validation, and deployment of predictive and statistical models under the guidance of senior team members
• Partner with cross-functional stakeholders to understand business questions and translate them into analytical approaches
• Assist with data extraction, transformation, and loading (ETL) processes to support analytics workflows and data pipelines
• Contribute to the documentation of analyses, models, and methodologies to promote transparency and repeatability
• Present findings and recommendations to team members and stakeholders in a clear, structured, and thoughtful way
• Apply best practices in data quality, version control, and reproducibility
• Continuously develop technical and business skills through feedback, mentoring, and hands-on experience

What they're looking for:

• A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field
• Strong analytical and quantitative skills, with working proficiency in Python and SQL
• Experience working with data to answer questions, test hypotheses, or support decision-making
• Ability to clearly communicate insights and recommendations in both written and verbal formats
• A curiosity-driven mindset with a willingness to learn new tools, techniques, and domains
• Ability to manage tasks independently while collaborating effectively within a team environment
• Interest in applying data science within a business context, ideally within insurance, technology, or financial services
• Prior internship or experience in data science, analytics, or a related technical role
• Exposure to machine learning techniques, statistical modeling, or forecasting
• Experience working with BI or data visualization tools (e.g., Tableau, Power BI, Looker)
• Familiarity with cloud-based data platforms or modern data stacks
• Strong academic performance (e.g., GPA of 3.0 or higher)

Benefits:

• Full-time employment
• Clear opportunities for skill development and career progression
• Feedback, mentoring, and hands-on experience
• Distributed workforce environment
• Remote work opportunities from numerous states across the country