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Guardian Life · 2 weeks ago

Senior Data Scientist, AI Studio

New York, NY

Full-time

Hybrid

Mid, Senior Level

$119K/yr - $195K/yr

4+ years exp

Guardian Life is on a transformation journey to evolve into a modern insurance company focused on enhancing customer wellbeing. The Senior Data Scientist role involves leading the development of advanced AI/ML solutions to drive innovation across various business lines, collaborating with cross-functional teams to leverage data for business solutions.

DentalFinancial ServicesHardwareInsuranceLife Insurance

No H1B

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

Qualification

Machine LearningData WranglingStatistical ModelingPythonData VisualizationExperimental DesignAI AlgorithmsAnalytical ThinkingProblem SolvingCommunication SkillsLeadership

Required

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 collaborating 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