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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Scientist - **Company:** FM Professionals LLC - **Location:** Johnston, RI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Big Data, Cloud Computing, Cluster Analysis, Integer Programming, Python (Programming Language), Linear Programming, Machine Learning, Tensorflow, Standard Sql, SQL Databases, Data Processing, Feature Engineering, Deep Learning, Model Validation, Information Technology, Xgboost, Machine Learning Operations, Data Pipelines, Unsupervised Learning, Databricks - **Published:** May 23, 2026 - **Apply:** https://www.juju.com/job/00000000g1s0wc ## About the Role + **Master's 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** . ## Description As a Data Scientist specializing in **optimization and advanced machine learning** , you will translate business needs into analytical & AI solutions that drive FM's 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)