Avail - Operations Research Analyst (Remote Home Based Worker)

Date Opened: Oct 15, 2021

Location: Remote, Remote, US

Company: Allstate Insurance Company

Avail is a car sharing service to help people get where they want to go–whether that’s to run errands, take an unforgettable road trip, or explore a new city–while helping locals earn cash from their unused cars. We are passionate about making shared transportation safe, simple, and affordable, and redefining what it means to own a car.


We’ve assembled some of the sharpest folks from across industries to compete against the antiquated system of traditional car rental. We put ideas into action and learn along the way in an open, collaborative work environment. As a part of Avail, you’ll make a direct impact and help build a business from the ground up. No matter where you’ve been, we’re always looking for fresh thinking and new perspectives. 

Job Summary

As a car-sharing marketplace, Avail has great opportunities in the space of revenue management - the science of managing supply and demand through the setting of prices and inventory in order to maximize market efficiency. To address challenges in this space, the Avail Data Team is looking for a Data Scientist with a background in Operations Research or Econometric Optimization. The techniques developed by this role will be directly productionized into the Avail system for critical functions such as solving for the right supply/demand balance in the peer-to-peer marketplace; differential pricing and market segmentation; inventory management and optimal borrower-to-owner allocations. This position can be based in either of two Avail HQ offices at San Francisco or Chicago, or fully remote with semi-regular travel to SF HQ.  

Key Responsibilities

  • Work with the Avail corpus of vehicle sharing data, and identify external data sets that are appropriate and useful for solving Avail’s revenue management challenges
  • Investigate and provide solutions for challenges in Avail’s revenue management and operations research, including optimal inventory allocations, pricing, balancing risk and revenue, demand and supply forecasting, and other such quantitative problems
  • Work with the data engineering team to productionize and validate optimization algorithms and heuristics developed in R&D 
  • Builds & evolves vision and strategy of using machine learning/predictive modeling, optimization and data within their area of responsibility 
  • Builds alignment for vision and strategy with business and technology stakeholders, fostering relationships and engaging resources across departments
  • Serves as subject matter expert and consultant on data and analytics related issues inside and outside the department
  • Effectively understands the business problems, requirements, and context in communicating findings to ensure solutions are well understood and incorporated into business processes 
  • Determines optimal program organization and delivery approach, assists in managing budget, coordinating resources and oversees development of integrated project plans  
  • Leads managers and builds and develops team dedicated to executing analytics initiatives

Supervisory Responsibilities:
This job does have supervisory duties

Job Qualifications

Education and Experience

  • PhD or equivalent industry experience in Operations Research, Optimization, or Econometrics
  • Prior experience in translating academic solutions from the lab into practical systems solving real world business challenges

Functional Skills

  • Demonstrated ability to deeply understand business operations, in order to effectively ascertain data and analytics opportunities and growth areas.
  • Proven ability to understand and formalize constraints and goals in new and unique business domains
  • Extensive experience in leading teams and cross functional projects across data, analytics, technology and business Proven ability to manage teams overseeing machine learning, artificial intelligence, and predictive modeling development.
  • Proven knowledge of advanced techniques, and when and where to apply them. Proven knowledge of ability to execute these statistical techniques in modern development environments
  • Ability to provide written and oral interpretation of highly specialized terms, data, and complex strategies. Ability to present this to others with different levels of expertise. 
  • Ability to concentrate on a wide range of loosely defined complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable
  • Ability to thrive in a fast paced and dynamic remote work environment  

Compensation Data

Compensation range for this position is $112,800 - $196,800 per year, based on experience and qualifications.

That’s the day to day, here’s the bigger picture.


Avail was founded by The Allstate Corporation in 2018. But you’ll be working for (and at) Avail. Our work environment blends the ingenuity and flexibility of a startup with the scale and strengths of a Fortune 100 company. Perks include a generous PTO policy, flexible working options, and a focus on leadership, wellness, and culture. We also offer 401k, health insurance, and other employment benefits for your future.


See a job you love? We encourage you to apply, even if your experience isn’t a perfect match.

Learn more about life at Avail. Connect with us on Instagram and LinkedIn


We generally do 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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