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.
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.
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone. At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real-world problems and put your talents towards transforming transportation. That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here. Arity is committed to supporting an inclusive and diverse environment where you can thrive and learn from others.
The Team
At Arity, our Geospatial Data Science team is a fundamental and key differentiating component of Arity's strategic vision, making transportation smarter, safer, and more useful for everyone. Not only do we know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties, but we are passionate about how it affects the end-users of our products. On our team, people get the opportunity to build scalable distributed machine learning models to efficiently extract innovative insights from raw GPS and contextual data, enhance applications from enriched geospatial layers on a large scale, and create eye-opening data visualization. By leveraging our state-of-the-art algorithms, cost-effective platform, and easily accessible micro-services, we can quickly turn geospatial data into actionable insights. This team is also fully integrated within a cross-functional scrum team including product owners, software engineers, and other talents to collaborate with for creating innovative products.
As a machine learning scientist at Arity, you will lead the development of machine learning algorithms primarily on geospatial data. You are expected to make key technical decisions about how to implement machine learning models including both traditional and deep learning models on large volume of geospatial data. You have chances to influence the business for the entire cycle of the ML solution including data collection, processing, aggregation, modeling, and visualization. You will personally prototype the solution development for these projects and work with product owners, data/software engineers, and other partners for productionization and client delivery. Some example projects include:
• Efficiently route match raw GPS data
• Extract mobility patterns from users
• Derive driving behavior based on driving environment
• Build nationwide map quantifying road risk using telematics data
• Dynamic traffic volume forecasting
• Generate synthetic trips
These geospatial insights help us understand transportation and the risk of behaviors on the road. You will also help shape and grow our culture we have worked hard to establish – promoting recognition of good work, continuous learning, winning together, and having fun along the way.
Your day-to-day looks like:
• Working with large geospatial data sets using distributed computing frameworks
• Building spatial and machine learning models using a variety of libraries/tools and cutting-edge techniques
• Identifying opportunities for new machine learning solutions, exploring new data sources for enrichment, collecting appropriate labels for learning, establishing actionable metrics, and creating reusable model validations and risk mitigation
• Communicating results to key stakeholders in a clear and compelling manner
• Applying appropriate methodologies for the problem and validating the solution with the appropriate metrics
• Establishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and compliance
• Expanding your machine learning skillset through development opportunities and researching innovative tools and techniques to level up our capabilities
Successful candidates typically have:
• Master’s or PhD degree in a machine learning/AI related field such as engineering, statistics, computer science, physics, or related discipline
• Over 7 years' experience with developing end-to-end machine learning solutions/algorithms including model development, model deployment, model monitoring, and model life-cycle management
• Demonstrated advanced knowledge in predictive models such as parameterized methods, ensemble algorithms, deep neural network, large language models, graph neural networks (GNNs), convolutional networks, transformer architectures
• Experience with scientific computing libraries Scikit-learn, TensorFlow, PyTorch, Spark ML-lib
• Experience with deploying ML models using AI platforms such as Vertex AI and Sagemaker
• Experience with geospatial data is highly preferred, such as US census data, weather data, parcel data, POI, etc
• Ability to process, analyze, and visualize large amounts of geospatial data using Spark/SQL is a plus
• Ability to translate product requirement into well-defined analytical problems
• 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
Optional:
• Domain knowledge with transportation models
• Experience with spatial models and techniques such as kriging, spatial linear mixed models, spatio-temporal models, graph theory models
• Experience with image data
• Experience with large language models
Level Guide: Please refer to the Allstate Level Guide on MyHr Knowledge
Regular, predictable attendance is an essential function of this job.
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is $142,200.00-$189,975.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Hands. Greater Together. ℠
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 https://www.allstate.jobs/benefits/
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Allstate generally does not sponsor individuals for employment-based visas for this position.
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Yearly based
Remote, US
