Arity Data Scientist Expert Researcher at Allstate

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 Team
At Arity, our Data Science team is at the core of helping us transform mobility. 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, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products that make transportation smarter, safer, and more useful for everyone.
The Role
As the Data Scientist Expert Researcher at Arity, you will lead the Data Science Research team, a focused group within the larger Data Science team,  that looks towards the future of telematics to anticipate the needs of our clients in 1-3 years. This newly created team is responsible for tackling our toughest data and analytics challenges and prototyping solutions that can be brought to market by our product segments. You will manage this portfolio of work, build the team, and own its vision and roadmap. Your experience in multiple companies and domains will lend itself to helping our teams improve their technical capabilities. You will consult on DS/ML architecture and patterns to help teams avoid common pitfalls in data science projects. As the senior most technical data scientist within Arity, you will advocate for the needs of data science broadly, lead the entire data scientist discipline by example, and coach and mentor across the team.
Responsibilities 
Accountable for the building & evolving the vision, strategy and roadmap of the Data Science Research team and hiring and managing the data scientists / researchers on this team
Make strong technical contributions to the Data Science Research team as a player-coach by building models, pipelines, or prototypes and reviewing the contributions of others
Encourage risk taking and innovation while keeping an eye towards business value
Influence broader organizational and technological change to facilitate easier adoption and integration of data science initiatives
Lead the Data Scientist Community of Practice bringing together practitioners across the team to drive improvements to current practices and collaborate
Consult across product teams on DS/ML architecture, patterns and best practices
Bring in outside viewpoints on how best to do telematics data science via scientific literature, conferences, speakers, and contacts across industries
Contribute to the broader data science community via technical blogs, white papers and speaking events. Help shape Arity’s approach to creating a strong external presence
Help support our culture of intellectual honesty and openness, passion for what we do, hard work, and personal growth.
Qualifications
Deep subject matter expertise in data science gained from academic studies as well as significant experience as a top echelon data scientist or researcher at multiple companies
Strong technical capability to build models, pipelines, prototypes, visualizations and analyses using standard data science tool sets, e.g. Python, R, Spark, C
Demonstrated capability of building highly complex data science prototypes to prove technical feasibility and demonstrate business value and driving prototypes into production
Broad knowledge of the landscape of statistical, and machine learning techniques (both traditional and deep learning) and proven ability to navigate it to find the right approach and manage trade-off’s
Strong research capabilities to synthesize the literature and other sources of new ideas, identify potential new avenues of development, and communicate their value to our business
Passion for technical mentorship across the larger team, and ability to manage a few highly self-sufficient technical contributors
Solid communication skills to drive adoption of your innovations and better understand the company and its strategy
Knowledge of telematics, insurance, geospatial, data science on the edge, or other domains specifically relevant to our work is a big plus, but not required
	 
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. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
The salary range for this level position is $134,800 - $202,000.  The salary offered is commensurate with experience.
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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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