Data Scientist - Optimization and Advanced Machine LearningFM Corporation • United States
Cette offre d'emploi n'est plus disponible
Data Scientist - Optimization and Advanced Machine Learning
FM Corporation
- United States
- United States
À propos
optimization and advanced machine learning , you will translate business needs into analytical & AI solutions that drive FMs mission of loss prevention and risk reduction. You will design, develop, and deploy optimization models, AI/ML algorithms, and decision?support systems for real?world, large?scale problems across underwriting, engineering, operations, and innovation teams. You will work in a collaborative, forward?thinking analytics environment, leveraging modern tools and technologies to deliver impactful solutions. Key Responsibilities Build
machine learning and AI solutions
using Python/R and modern ML frameworks for prediction, clustering, simulation, and automated decision systems. Develop and deploy
optimization models
(e.g., linear, nonlinear, mixed?integer programming, stochastic optimization) for risk assessment and operational decision?making. Lead end?to?end model development: problem framing, data processing, feature engineering, modeling, validation, implementation, and monitoring. Work with cross?functional partners to translate analytical insights into business actions. Work with large?scale datasets using SQL or similar tools and implement robust data pipelines. Apply creativity and domain expertise to evaluate and improve model performance and interpretability. Contribute to continuous innovation in optimization, ML, and AI practices across the organization. Qualifications:
Education (minimum requirement) Masters degree
in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or a closely related field with strong optimization focus.
PhD preferred. Experience 5+ years of industry experience
in building optimization or machine learning solutions. 5+ years
hands?on experience with data processing, modeling, and advanced analytics using
Python or R . 3+ years
experience working with large datasets using
SQL
or similar technologies. Proven experience leading
full?cycle data science or optimization projects
from ideation to deployment. Hands?on experience with cloud?based analytics and machine learning platforms, preferably Azure Databricks Technical Skills Strong Knowledge & Practical Experience in: Optimization methods:
Linear / Non?linear programming Mixed?integer optimization Metaheuristics (GA, simulated annealing, evolutionary algorithms) Stochastic and robust optimization
Core Machine Learning algorithms:
Tree?based models, gradient boosting Clustering & unsupervised learning Neural networks and deep learning fundamentals
Simulation Model evaluation, validation, and experimentation Data wrangling, feature engineering, and pipeline design ML engineering practices following MLOps principles (model tracking, reproducibility, deployment) Preferred Qualifications Experience in
risk management ,
insurance , or
operations modeling . The final salary offer will vary based on geographic location, individual education, skills, and experience. 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, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.