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 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:

　　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 data pipelines 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.

　　The Role:

　　As a geospatial expert at Arity, you will be considered as the technical expert for geospatial data. You are expected to make key technical decisions about how to approach complex geospatial projects. You have chances to influence the business for the entire cycle of geospatial data including collection, processing, aggregation, modeling, and visualization. You will personally lead 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 dataExtract geographically relevant mobility patterns from usersDerive driving contextual information based on driving environment Build nation-wide risk mapGeospatial modeling of traffic data

　　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.

　　Responsibilities:

　　Your day-to-day looks like:

　　Working with large geospatial data sets using distributed computing frameworksBuilding spatial and machine learning models using a variety of languages and tool setsWorking cross-functionally to identify business opportunities for geospatial data science, exploring new data sources for enrichment, collecting appropriate labels for learning, establishing actionable metrics, and creating reusable model validations and risk mitigationCommunicating results to key stakeholders in a clear and compelling mannerApplying appropriate methodologies for the problem and validating the solution with the appropriate metricsEstablishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and complianceExpanding your geospatial data science skillset through development opportunities and researching innovative tools and techniques to level up our capabilitiesWriting technical blogs, patents, papers for knowledge sharing and present in notable geospatial conference to promote Arity's capabilities and products

　　Job Qualifications

　　Extensive knowledge about geospatial data sources both in public and private domain such as US census data, weather data, parcel data, POI, etcAbility to process, analyze, and visualize large amounts of geospatial data using Spark, Python, SQL, etc. Demonstrated capability to build spatial models and techniques such as kriging, spatial linear mixed models, geographically weighted regression, Markov random field, spatio-temporal models, graph theory models for transportation networkAdvanced knowledge in predictive models using geospatial data such as crash/fatality prediction, traffic flow model, risk mapProficiency in data visualization and analysis including use of open source or commercial geospatial tools such as Kepler.gl, ArcGIS, QGIS, and PostGIS Ability to translate product requirement into well-defined analytical problemsAbility 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:

　　Experience working with transportation agencies like DOT and domain knowledge in transportation safetyExperience working through end-to-end life cycle for a geospatial application from data acquisition, model building through to deploying, monitoring, and revising models in a production settingExperience with building maps from traffic data

　　Supervisory Responsibilities:

　　This job does not have supervisory duties.

　　Education and Experience:

　　Master's or PhD degree in a geospatial related field such as geospatial science, statistics, civil engineering, computer science, or related disciplineOver 10 years' experience with geospatial data in large scale and familiarity with common maps such as HERE, OSM, Tomtom and OpenLR

　　Notes:

　　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 $154,400.00-$210,350.00 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.

　　That's the day-to-day, now let's talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you'll be working for-and at-Arity. It's the best of both worlds. You'll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. It's a culture that encourages you to be you.

　　Sound like a fit? Apply now! We can't wait to meet you.

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　　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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　　It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment