The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.

You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Plus, Allstate is changing how, when, and where we work-to lead us boldly into our future. We're empowering our employees to create better ways of working through more intentional use of communication and collaboration practices, processes and tools.

Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.

Job Summary:

The Data Science team at Allstate Roadside maximizes the marketplace efficiency of our services though influencing the supply and demand of rescues and rescue providers in real time. This involves developing a fundamental understanding of the rescuer behavior in a rapidly changing market, creating dynamic pricing strategies that can influence the supply of rescue providers in an area that is seeing a surge in demand. This ensures our customers enjoy the highest customer service while our rescue providers are able to maximize their earnings.

This Data Scientist/Machine Learning Engineer Python role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.

Key Responsibilities:

• 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.
• Work on variety of data sets in a cloud analytics environment, crunching millions of samples in creative ways to discover new insights and operationalize powerful solutions
• 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

Qualifications

• Degree in a quantitative field such as statistics, mathematics, computer science, finance.
• Master’s or PhD, preferred, with 2 or more years of experience.
• Bachelors and 5 or more years of experience.
• Hands-on experience in implementing, maintaining, and running machine learning models in production in Python.
• Experience using SQL to pull data.
• Experience working with ML frameworks such as SkLearn, XGBoost, and Tensorflow.
• Previous work doing Big Data Processing using Spark a plus.
• Experience designing experiments and ability to infer causal relationships a plus. 
• Experience with operations research a plus.
• Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise. 
   

The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.

Good Work. Good Life. Good Hands®.

As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits

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Allstate generally does not sponsor individuals for employment-based visas for this position.

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