At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Founded by The Allstate Corporation in 2016, Arity is a fully remote 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 problems and put your talents toward 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 Core Telematics
Arity’s Core Telematics team uses advanced machine learning and AI to translate huge volumes of sensor data from phones and other IoT devices into insights about driving. We are an applied research team that develops the fundamental intelligence that fuels all of Arity’s products, from crash detection to risky behaviors like distracted driving to passenger detection and more. We use our deep understanding of sensor technologies, vehicle physics, and cutting-edge deep learning techniques to tackle the most challenging and exciting problems that help Arity achieve its mission.
We are looking for a Sr. Manager to lead R&D teams in developing the world’s leading driver behavior detection algorithms from smartphone sensor data to be deployed through the Arity SDK to offer services to millions of users and fuel all of Arity’s data products. The ideal candidate is results oriented and has a proven track record of leading greenfield machine learning research from design through iterative development to implementation in production. You will lead multiple teams of diverse and talented data scientists, setting priorities, advising on methodology, ensuring consistent progress is made toward goals, and managing relationships with key Product and Engineering stakeholders to ensure successful deployment of models on the edge. You will be responsible for team member recruitment, selection, and people management, and you will play an active role in team and department strategy development.
Responsibilities
Builds & evolves vision and strategy for using machine learning/predictive modeling, optimization, and signal processing to deliver valuable features from smartphone and other hardware-based sensors
Builds alignment for vision and strategy with Product and Engineering partners, fostering relationships and engaging resources across departments
Leads managers and expert individual contributors, builds and develops team dedicated to executing data science initiatives to increase organizational value
Effectively understands business problems, requirements, and context in communicating findings to ensure solutions are well understood and incorporated into products
Develops and executes communication strategy, keeping stakeholders informed, and influencing business partners and senior leaders.
Collaborates with and influences partnering Product and Engineering teams in deploying models into production mobile apps/SDKs.
Identifies potential solutions that use new areas of data, research, and models
Utilizes project planning techniques to break down complex and occasionally highly complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept.
Trains, develops, and teaches team
Serves as subject matter expert and consultant on data and analytics related issues inside and outside the department
Required Qualifications
Bachelor’s degree in a quantitative field such as statistics, mathematics, computer science, finance, or economics
7 or more years of professional experience
Proven track record of delivering results, leading teams in the development and deployment of machine learning models to production to solve business and technical problems
Demonstrated experience in with large, complex datasets and machine learning methodologies
Familiarity with commonly used data science tools and libraries in Python, R, Java, Scala, C
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
Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable
Ability to lead and develop teams of various skills levels
Preferred Qualifications
Master’s or PhD in a quantitative field such as statistics, mathematics, computer science, finance, or economics
10 or more years of professional experience
Experience with using sensor/IoT time series data to interpret physical processes using signal processing and machine learning
Familiarity with deploying machine learning models to the edge with commonly used frameworks such as TensorFlow Lite, PyTorch Mobile, CoreML
Skills
Business Data Analytics, Business Management, Data Science, Deep Learning, Information Technology Management, Machine Learning, Machine Learning Algorithms
Compensation
Compensation offered for this role is $143,200.00 - 227,050.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
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