Hybrid Senior Data Scientist, AI Studio

at Guardian Life

• Job title: Senior Data Scientist, AI Studio
• Job type: Full Time
• Experience level: Senior
• Salary: $118,980 - $195,465 per year
• Degree requirement: Postgraduate Degree
• Tech skills: ETL, Python
• Location requirements: Hybrid, New York City, United States

About the role

• Senior Data Scientist developing advanced data science solutions and leveraging AI to drive enterprise-wide innovation. Collaborating with multi-disciplinary teams to oversee projects in various business lines.

Responsibilities

• Lead use case/workstream with junior data scientists
• Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
• Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
• Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
• Identification of source data and data quality checks both in model/solution development and in production
• Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Propose innovative ways to look at problems through using data mining and data visualization
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Present information using data visualization techniques; communicate results and ideas to key decision makers
• Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies
• Consistent accuracy and thoroughness in performing work assignments
• Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities
• Contribute to standardization of Data Science tools, processes, and best practices

Requirements

• PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied Mathematics or related field
• 3+ years of hands-on ML modeling/development experience
• Solid understanding of data analysis and statistical modeling
• Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks
• Demonstrated track records in experimental design and executions
• Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
• Strong programming skills in Python
• Solid background in algorithms and a range of ML models
• Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
• Excellent analytical and problem-solving abilities with superb attention to detail
• Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success.

Benefits

• Health insurance
• 401(k) matching
• Flexible working hours
• Paid time off
• Professional development opportunities