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Senior Data Scientist [Remote-US]

Quanata
  • US
    United States
  • US
    United States

À propos

divh2Senior Data Scientist [Remote-US]/h2pQuanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer-centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm./ppFrom data scientists and actuaries to engineers, designers and marketers, were a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world. Weve come together to create the context-based insurance solutions and experiences of the future. We know that the key to our success isnt just about nailing the technologyits hiring the talented people who will help us continue to make a quantifiable impact./ph3The Role/h3pWere looking for a Senior Data Scientist to be the strategic anchor for a functional team. You wont just be building models; youll be a key influencer who translates ambiguous business challenges into powerful, end-to-end ML solutions. Your mission is to take ownership of the data science lifecycle, delivering automated and augmented decisions that create a quantifiable impact on the business./ph3Your Day-To-Day/h3olliDrive Full-Cycle Solutions: You will spearhead high-impact modeling projects from the initial ambiguous question to the final deployed solution. This includes framing the business problem, designing rigorous experiments, and selecting evaluation criteria that directly connect to business value./liliEngineer the MLOps Backbone: Build and own the automated systems that keep our models sharp. Youll design and implement robust pipelines for model retraining, monitoring, and alerting, creating repeatable CI/CD processes that ensure service stability and performance./liliElevate the Team: Act as a force multiplier for the teams talent. Youll actively mentor junior data scientists, lead knowledge-sharing sessions (like tech talks and paper reviews), and champion best practices that raise the bar for everyone./liliInfluence Business Strategy: Be the voice of data for your partners. You will translate complex technical concepts into clear, compelling insights for non-technical audiences, making recommendations that directly influence your functional teams priorities and decisions./li/olh3About You/h3ulliRelevant degree OR equivalent relevant experience and;/liliExperience: 10-12 years of work experience in data science./liliTechnical Mastery: Production-grade proficiency in Python and SQL and mastery of multiple data science libraries. You dont just write code; you write clean, scalable, and well-tested code, and are comfortable contributing to shared libraries./liliScientific Rigor: A proven track record of designing robust experimental frameworks and validation strategies. You know how to methodically test hypotheses and build models you can stand behind./liliBusiness Acumen: The ability to see the business problem behind the data. You excel at turning vague challenges into well-defined data science projects with clear success metrics./liliA Mentorship Mindset: Youre a natural teacher and collaborator who enjoys elevating others. You are a trusted partner who is sought out for your ability to solve problems and explain complex ideas with clarity./li/ulh3Bonus Points/h3ulliAdvanced Credentials: PhD in a quantitative discipline or an actuarial designation (or progress toward one)./liliIndustry Experience: Prior experience in auto insurance, specifically in cost modeling and working with large-scale, semi-structured or unstructured datasets./liliTelematics Know-How: Hands-on experience with telematics data collection, signal processing techniques, or IoT data pipelines./liliOpen-Source Contributions: Demonstrated track record of contributing to open-source projects or maintaining widely used analytical libraries./li/ulh3Salary/h3p$250,000 to $400,000*/pp*Please note that the final salary offered will be determined based on the selected candidates skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidates expertise and contributions to our organization./ppAdditional Details:/pulliBenefits: We provide a wide variety of health, wellness and other benefits. These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match./liliWork from Home Equipment: Given our virtual environmentin order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day./liliPaid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent./liliPersonal and Professional Development: Were committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp./liliLocation: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. Occasional travel may be requested or encouraged but is not required. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired. We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones./li/ul/div
  • United States

Compétences linguistiques

  • English
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