Posted on 
Feb 12, 2024

Geospatial Data Science Expert

Remote
Mid-Senior ICs
Data Science + Analytics
Arity
Arity
Arity
Public
251-1000
Software, Security & Developer Tools

Founded by The Allstate Corporation in 2016, Arity is a mobility data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with single goal in mind: to make transportation smarter, safer, and more useful for everyone.

Job Description

 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.

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 data
  • Extract geographically relevant mobility patterns from users
  • Derive driving contextual information based on driving environment
  • Build nation-wide risk map
  • Geospatial 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 frameworks
  • Building spatial and machine learning models using a variety of languages and tool sets
  • Working 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 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 geospatial data science skillset through development opportunities and researching innovative tools and techniques to level up our capabilities
  • Writing 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, etc
  • Ability 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 network
  • Advanced knowledge in predictive models using geospatial data such as crash/fatality prediction, traffic flow model, risk map
  • Proficiency 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 problems
  • Master’s or PhD degree in a geospatial related field such as geospatial science, statistics, civil engineering, computer science, or related discipline
  • Over 10 years' experience with geospatial data in large scale and familiarity with common maps such as HERE, OSM, Tomtom and OpenLR

Preferred

  • Experience working with transportation agencies like DOT and domain knowledge in transportation safety

    Experience with building maps from traffic data

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.

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