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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.
Mission and Vision
We are focused on making transportation smarter, safer, and more useful for everyone. Arity turns billions of miles of driving data from cars and smart phones into predictive insights that help move businesses and people forward.
Our Values
Meet Our Team
Perks and Benefits
Our Tech Stack
Careers at
Arity
![Arity](https://cdn.prod.website-files.com/63a2d70ffe5e82865b028e60/65c286da0961bdd5381b50f4_arity_logo.webp)
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
This role is responsible for leading the use of data to make decisions. This includes: the development and recommendation 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 new business problems that can be solved through the use of machine learning/predictive modeling. The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists. This role will also begin to manage projects of medium to high complexity.
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 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.
The Role
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.
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 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
Qualifications
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
Supervisory Responsibilities
- This job does not have supervisory duties.
#LI-JB2
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Skills
Algorithms, Artificial Intelligence Markup Language, Business Model Development, Data Analytics, Data Science, Deep Learning, Digital Literacy, Learning Agility, Machine Learning, Neural Networks, Predictive Analytics, Predictive Modeling, Results-Oriented
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Compensation
Compensation offered for this role is $121,600.00 – 206,650.00 annually 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.
<br>
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.
![Arity](https://cdn.prod.website-files.com/63a2d70ffe5e82865b028e60/65c286da0961bdd5381b50f4_arity_logo.webp)
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.
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 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 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.
The Role
We are looking for an expert data scientist to lead an R&D team in developing the world’s leading crash detection algorithms, which will be deployed through our partners to offer life-saving services to millions of users. The ideal candidate has extensive experience in designing and implementing optimal deep learning architectures on time series data from sensors/IoT devices and significant experience working with software engineers to deploy models on the edge. You will act as a player-coach, responsible for both individual technical contributions and providing project leadership and technical direction to junior data scientists on highly complex technical projects. Your knowledge and expertise will also be relied upon for team member recruitment, selection, and mentorship, and you will play an active role in team and department strategy development.
Responsibilities
- Uses best practices to develop highly complex deep learning architectures to build models that improve the accuracy of our crash prediction algorithms running on time series data from mobile phone sensors and other IoT devices.
- Reviews, evaluates, communicates, and makes recommendations on the appropriateness of deep learning methods to the team, leadership, and stakeholders to ensure these are well understood and incorporated into business processes.
- Develops and executes communication strategy, keeping stakeholders informed, and influencing business partners and senior leaders.
- Collaborates with and influences partnering business and engineering teams in deploying models into production mobile apps/SDKs.
- Understands the business problem domain and requirements to identify the optimal modeling approach.
- Develops and builds alignment within the department for frameworks/prototypes that integrate data and machine learning to make business decisions.
- Identifies languages and tools that can bring efficiencies or needed techniques to the team.
- Identifies and develops solutions that use new areas of data, research and models and develops data sources that can solve business problems.
- 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
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
- Demonstrated experience in building and deploying deep learning models to production to solve business and technical problems
- Demonstrated experience in managing and manipulating large, complex datasets
- Proven ability to code and develop prototypes in various languages, such as Python, R, Java, Scala, C
- Proven experience developing deep learning models using common industry frameworks, such as TensorFlow, PyTorch, Keras, MXNet, Caffe, ONNX, etc.
- 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 a project team of various skills levels
Preferred Qualifications
- Master’s or PhD in a quantitative field such as statistics, mathematics, computer science, finance, or economics
- Proven experience in developing cutting-edge deep learning architectures and training models on sensor/IoT time series data
- Proven experience deploying deep learning models to the edge with commonly used frameworks such as TensorFlow Lite, PyTorch Mobile, CoreML
#LI-JB2
<br>
Skills
Business Data Analytics, Computer Science, Data Science, Deep Learning, Machine Learning, Machine Learning Algorithms, Predictive Analytics, Predictive Modeling, Python (Programming Language), PyTorch
<br>
Compensation
Compensation offered for this role is $134,400.00 – 217,350.00 annually 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.
<br>
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.
![Arity](https://cdn.prod.website-files.com/63a2d70ffe5e82865b028e60/65c286da0961bdd5381b50f4_arity_logo.webp)
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.
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 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.
Job Summary:
The Product Management Team
Looking to join a strong team with a vision to build the future of transportation? At Arity, achieving our goals requires a product manager eager to work in the trenches with the development team to solve tough problems and produce great results. Just as importantly, they’ll need to collaborate regularly with our engineers, designers, customers, and stakeholders to understand what must be done and why. We’re looking for a dynamic new teammate who’s comfortable scoping out the use cases of a new API one moment, providing design critique the next, and finishing up by building out a roadmap around a new feature—or has the willingness to learn these skills. Above all, an Arity product manager should possess insatiable curiosity and attention to detail. Want to join our team? Let’s chat!
The Role
We are looking for a dynamic and results-oriented Outbound Group Product Manager to join our team. The ideal candidate will be responsible for helping to drive and enhance customer adoption, product fit, and overall satisfaction of our current and future data driven mobility products and solutions within our insurance segment. In order to be effective and successful in this position, the role requires a deep understanding of the auto insurance industry, competitive landscape, and insurance business customer needs. This also includes experience and expertise related to insurance data products, including personal lines telematics solutions. The individual in this role also needs to be able to effectively collaborate cross functionally across the organization, particularly with Sales, Product Marketing, Customer Success, and with other product managers. You must have a strong technical and analytical background and be able to think holistically about opportunities on how our valuable data can be used to drive business value for insurance companies. You will be involved in continuing to shape the strategic product vision, ensuring focus on relevant solutions, and advocating for new products and features, as well as helping to ensure effective product launches that promote successful adoption by customers.
Responsibilities:
• Help create integrated solutions for our customers that maximize value for customers and Arity.
• Support Arity’s product roadmap definition to create new value and optimize industry adoption.
• Define pathways to help customers find the best product fit for their market and business needs amongst our diverse set of products.
• Collaborate with Product Marketing to plan and execute an integrated marketing plan to support market awareness and adoption of our products.
• Work with Customer Success to define more efficient customer onboarding processes, and setup effective reporting processes to track critical KPIs and measure performance.
• Collaborate with Customer Success to help existing customers effectively migrate to new and enhanced products and solutions, anticipating internal insurance company workstreams.
• Partner with Sales to support the team with product expertise, help create and deliver product sales training, and help implement processes for efficient product evaluation by prospects.
• Engage with customers to gather insights and validate product features and positioning. Also, build and maintain relationships with key customers, partners, and industry influencers.
Required Qualifications
• Auto insurance experience includes extensive work with insurance data products, particularly auto telematics data for underwriting, pricing, and analytics purposes.
• Auto telematics experience with developing and launching new technical capabilities, spanning from feature definition, user stories, UAT testing, and post launch monitoring.
• Telematics program management experience with cross-functional collaboration across sales, customer service, marketing, research, legal and compliance to successfully launch new products and effectively onboard and engage end users.
• Experience includes establishing analytics and reporting frameworks to support tracking of KPIs as well as measuring and reporting performance across different critical metrics.
• Entrepreneurial with a strong inclination towards action, with experience in Agile Scrum.
• Ability to communicate complex and innovative concepts with proven experience in data-driven decision making.
• Ability to be self-directed and to proactively anticipate problems and seek opportunities.
Preferred Qualifications:
• Undergraduate degree
• 8+ years of relevant product, analytics and technology development experience within the personal lines auto insurance industry and in an Agile environment.
• Deep understanding of insurance company requirements spanning the auto insurance value chain including quoting and renewal processes and regulatory and filing requirements.
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 $125,500.00-$199,750.00 per year and is based on experience and qualifications.
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.
![Arity](https://cdn.prod.website-files.com/63a2d70ffe5e82865b028e60/65c286da0961bdd5381b50f4_arity_logo.webp)
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.
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.
The Role:
The Software Administrator of the Analytics Infrastructure Engineering team successfully delivers functionality utilizing vended software by providing administration and operational support for Arity’s Data Governance (Business Glossary; Data Catalog; etc.) tools, ensuring that the products within the team’s portfolio remain stable, current, and that operational SLA’s are maintained.
The candidate is responsible for installation, configuration, support and administration of the vendor’s software. Also, maintaining the organization and security of the objects contained in the tooling. Duties include developing and maintaining data store structures, managing users, groups, roles, and global/local repository relationships, and performing backup and recovery of repositories.
During development efforts, the Software Administrator is also responsible for coordinating migrations, maintaining database connections, establishing naming conventions and development standards, and developing back-up and restore procedures for the repositories. And works closely with other teams during installation and deployment to plan, configure, support and maintain the desired platform configuration.
Responsibilities:
- In partnership with Data Governance and technical teams, provide knowledge and support for technical and system architectural planning, and resolving technology issues
- Configure vendor software; review and verify operation of new vendor release features
- Resolve issues and outages by working with other teams and leveraging the vendor’s defect resolution procedures and support tools
- Develop and test back-up / restore and restart / recovery strategies procedures; Monitors logs and activity, real-time system state and load, and performance;
- Assist, gather and publish training, technical documentation, manuals and IT policies
- Develop expertise to train staff and users
- Coordinate LDAP and Users/ Groups Creation, Access Management (Privileges and Permissions)
- SSO integration and setting up SSL certificates
- Outage Handling, Password Changes, Bouncing Activities or Restarting the Services
- Support and perform metadata scans
Required Qualifications:
- Bachelor’s degree or above in computer science, mathematics, or data science
- At least 3 years of experience in Software Administration, including cloud-based software, preferred in metadata repositories and business glossaries, such as Informatica, Alation, Collibra, etc.
- Strong experience in providing software administration, operational support and problem resolution for a large complex environments
- Excellent time management skills, including the ability to multitask across several large initiatives
- Ability to analyze & communicate root cause and remediation steps
- Coaching and mentoring abilities
- Support on call and off-hours work as needed
Qualification and Education:
- 4 year Bachelors Degree In Computer Science, Data Science, Mathematics(Preferred)
- 3 or more years of experience (Preferred)
- In lieu of the above education requirements, an equivalent combination of education and experience may be considered.
Do it with excellence
Creator success is our success
Default to generosity
Work in public
Create every day
Teach everything you know
We have Integrity
We move Quickly
We are Data-Driven
We are Transparent
We are Pioneering
We are Collaborative
Our Valued Behaviors
• We're on It
• Make It Simple
• The Full Story Told in Broad Daylight
• We Win as One
• Champion Diversity
• The Future Is Bright
We are one Zoox
We trust each other
We are inquisitive
We are mission-driven
Be the owner of your days
Rise to any challenge
Brighten the lives of those around you
Let your unique self shine through
Pursue Deliberate Simplicity
Let Curiosity Lead
Own Your Part
Act then adapt
Defy the Ordinary
Go Further Together
Same team
Progress over perfection
Give a shit
Innovation
Diversity, Equity & Inclusion
Excellence
Excellence t
Agility
Integrity
We care about each other
We maintain a healthy work-life balance and we always take care of one another.
We're nimble
We're proud to wear many hats and do whatever it takes to get things done. We don't shrug our shoulders or shy away from doing something because it's not part of our job descriptions.
We listen
People First
Maximize Efficiency
Make Your Mark
Ownership
Always share whether we succeed or fail
Make the impact worth the effort
Represent the real world
Make it measurable
Be an owner
Embrace Mistakes
Be Hypothesis-Driven
Practice Self-Reflection
Be Curious
Service
Win together
Bring your best
Embrace the pace
Don't be an asshole | Be a good human
Focus on the customer
Transparency
Inclusion
Responsibility
Gratitude
Inclusion & Diversity
Cultivate empowerment and ownership
Community & Open Collaboration
Think Big & Dive Deep
Curiosity & Rigorous Thought
Committed to Our Purpose: A Future for Everybody.
Inclusion & Diversity
Cultivate empowerment and ownership
Community & Open Collaboration
Think Big & Dive Deep
Curiosity & Rigorous Thought
Committed to Our Purpose: A Future for Everybody.
We believe in the importance of 'Getting Sh!t Done'
We believe In learning and the power of “yet”
We believe starting from first principles gives us the courage to think differently.
We believe being human means recognizing the humanity in ourselves and others.
We believe businesses don’t have problems, people do.
Be Boomi
We show up for each other with empathy, compassion and purpose.
We strive to integrate a more diverse voice for a stronger and smarter team.
We win as One Boomi.
Be You
We lead with integrity.
We bring our whole, unique and authentic selves to our work and relationships with ourselves, our customers, our partners and our communities.
Be Bold
We commit to continuously being better.
We strive to exceed our customers, partners and community's expectations.
Our curiosity drives us to do better.
We are inspired by yesterday, but create for tomorrow.
Direct & transparent
Win together
High agency
Dev love
Ownership
Everyone is an owner at Starburst and has the autonomy to make a significant impact on where we are today and where we are going. Regardless of the role you perform here, we want drivers. If you see something that can be improved, don’t wait for someone else to improve it. Every employee has equity and this is truly your company – and ours.
Competence
As individuals, we are constantly striving to master our craft and give our best as we get things done. While individual contributions are recognized and rewarded, we also work to build an inclusive meritocracy across the entire organization where accountability is key. High performance at Starburst is both an individual and team sport.
Character
As a team, humility, grit, and authenticity are at the core of who we are. As individuals, we care more about what’s best for our company and customers over being right. We also recognize that startups have ups and downs and when we inevitably face hard times, our perseverance helps us stay the course and work harder. Through it all, we are authentic in everything we do and always operate with honesty.