As an Operations Research Data Scientist on the Allstate Roadside team, you have a unique opportunity to flex your quantitative muscles in operations research, statistics and machine learning to solve high impact , open ended questions, prototype novel machine learning algorithms in production and engage in large scale experimentation on a country wide network. Work on optimizing real time dispatch systems and build scalable solutions to solve challenging problems. Contribute to entire life cycle of machine learning models from ideation to deployment , monitoring and retraining. Collaborate with engineering teams to design and implement software solutions for data science problems. Understand ambiguous business problems and convert them into data science solutions ie create insights, decisions, white papers and models. Develop deep understanding of the business. Research solutions to recommend strategies that impact key organization metrics. Learn quickly and adapt to changing business needs.
Ph.D./M.S. in Econometrics, Operations Research, Statistics or related quantitative field.
Hands-on experience in implementing, maintaining, and running machine learning models in production.
Experience designing experiments and ability to infer causal relationships. (Nice to have)
Hands-on experience in prototyping, developing, and implementing software in Python.
Python
Demand forecasting
Time Management Skills
Prototyping, developing, and implementing software
Machine learning and experimental design skills
Network flow optimization
Location intelligence
Causal inferencing
Verbal communication
Driven and self-motivated
written communication
Adaptability
Detail oriented and highly organized
Multi tasker
According to JobzMall, the average salary range for a Operations Research Data Scientist is between $78,000 and $143,000. This range may vary depending on the specific industry, level of experience, and other factors.
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The Allstate Corporation is an American insurance company that is in the United States.

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