*Data Scientist

About the Role

Key Responsibilities

• Collaborating with business stakeholders to understand their challenges and structuring an advanced analytical solution to solve it
• Identifying key internal/external, structured/unstructured data sources to define the optimal data set for testing hypotheses and partnering with others to connect these data sources
• Preparing internal/external, structured/unstructured data sets to build, rebuild, or refresh predictive models
• Leading effort to design, develop, and validate models
• Working closely with stakeholders to develop a strategy on how to use the model to generate the desired impact
• Supporting the project after deployment to ensure that impact is achieved
• Monitoring model accuracy and working with stakeholders to ensure proper use and impact
• Contributing to the development of improvements to analytic techniques to solve business challenges
• Supporting IT implementation and system integration of models
• Leading development of best practices and improvements to analytic techniques
• Building collaborative relationships across the organization

Requirements

• Master's degree or foreign equivalent in Computer Science, Engineering, Engineering Science, Analytics, or a closely related field
• 3 years of experience in solving business challenges using advanced analytics, or as an Associate Data Scientist or similar role
• 3 years of experience using data science tools and libraries including Python, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and Hugging Face
• 2 years of experience working with ML algorithms including regression, classification, clustering, and decision trees
• 2 years of experience with NLP tasks such as document classification, entity extraction, and summarization in an insurance industry setting
• 2 years of experience working with cloud platforms and AI deployment (Azure, AWS, or Google Cloud)
• 1 year of experience communicating with business unit stakeholders and cross-functional teams
• Experience involving statistical modeling and advanced machine learning concepts
• Experience deploying models or data science solutions into production to make a business impact

Nice to Have

• Experience in the insurance industry setting
• Experience with system integration and deployment in cloud environments

Qualifications

• Master's degree or foreign equivalent in relevant field
• Minimum 3 years of relevant experience solving business challenges with advanced analytics

Benefits & Perks

• Competitive compensation package with a proposed salary range of $116,334
• Comprehensive employee benefits package for employees and eligible dependents
• Potential for short-term incentive bonuses and merit increases
• Flexible remote work arrangement (up to 60%)