Position Summary: This individual contributor position is responsible for leading analytical projects on identifying business opportunities, answering business questions and developing business solutions.  The team member will need to be able to understand business needs and create research and implementation plans using data, statistical models and machine learning techniques.  The team member needs to have very expert data and programming skills and be able to work closely with cross-functional teams of software engineers, data analysts and product leaders on business initiatives. Will independently lead projects and mentor more junior members of the data science team.

Position Summary: At Mercury, members of our Product Management Team are responsible for driving profitable growth in their assigned states and line of business (Commercial insurance).  As a Product Analyst, you are playing a vital role in making our insurance product successful.  Combining your leadership and analytical skills, you will provide data-driven insight to influence strategies and execute initiatives.   

Position Summary: The Principal Catastrophe Scientist is responsible for advanced catastrophe risk analyses, leveraging both industry-standard platforms—such as Verisk (AIR), RMS (Moody’s), and others—and the development of proprietary modeling approaches. The successful candidate will participate in strategic planning and will plan priorities for and manage multiple project streams in partnership with the Sr. Director of Climate and Catastrophe Science. This role requires deep expertise in hazard modules and event sets, including large catalogs of simulated natural hazard footprints that define magnitude, location, path, and probability of occurrence. This individual will contribute to and...

Position Summary: As an MLOps Engineer I, you'll be a member of a team dedicated to productionizing machine learning models and systems, including the implementation of data science pipeline orchestration and automation. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging state-of-the-art technology platforms. You’ll serve as a major technical contributor, writing and reviewing model and application code, as well as ensuring high availability and performance of our batch, API, and streaming machine learning applications. You'll have the opportunity to continuously learn & apply the latest innovations and best practices in machine learning engineering.

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2024!   State specific pay scales for this role are as follows: $118,465 to $245,448 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $107,695 to $204,540 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $96,926 to $184,086 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.   Position Summary: The Product Manager is responsible for owning...