FM is looking to leverage data science, artificial intelligence, machine learning, and deep learning to solve business problems in loss prevention, translate business needs into analytics, and interpret analytics into business applications.
Requirements
- 5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R
- 3+ years of experience of processing large datasets using SQL
- Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.)
- Model Regularization
- Probability Distributions
- Hypothesis testing
- Statistical Inference
- Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.)
- Simulation
- Experiment Design
- Non-Parametric Statistics
- Experience as the lead role of full-cycle data science projects
Responsibilities
- Develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention.
- Plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision.
- Use statistics to advance the mission and goals of FM.
- Translate business needs into analytics.
- Interpret analytics into business applications.
- Innovate, explore, and build solutions for FM using new technologies.
Other
- Ph.D. in Statistics or Biostatistics (required) with 2+ years of industry experience preferred or a Master’s degree with 5+ years of industry experience considered
- Working experience in risk management and/or property insurance is strongly preferred
- The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more.
- FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
