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Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already ...

Remote Machine Learning Data Science Computer Vision

$87k - $116k · Senior Fully remote

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Data Science Ai

$79k - $127k · Senior Fully remote

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Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already ...

Remote Data Science Ai

$79k - $127k · Senior Fully remote

Apply

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already ...

Remote Data Science Ai Fulltime

$79k - $127k · Senior Fully remote

Apply

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Data Scientist Senior

Progressive

Live

$87k - $116k · Senior Full-time Posted 7 days ago 3 min read

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress.

As a **senior data scientist** on the Claims Control Data Science team, you'll use recent advances in machine learning to solve challenging problems related to vehicle repair. You’ll own the end-to-end lifecycle of computer vision model development, from problem conception and research to production deployment and performance optimization. You’ll collaborate with cross-functional teams to build, train, and deploy scalable machine vision models that solve complex real-world challenges. You’ll also work with a team of data scientists, data engineers, and business partners to turn ideas into solutions.

**Remote work allowed.**

**Must-have qualifications**

* A minimum of 5 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
* {OR} Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 2 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
* {OR} Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).

**Preferred skills**

* Proven track record adapt and train neural networks to takle challenging computer vision tasks
* Extensive experience using the PyTorch framework and GPU acceleration in a remote Linux environment
* Experience using Git to collaborate with large teams on large, evolving codebases.
* Practical knowledge of emerging multimodal AI capabilities such as GPT-4v, Llama, and DINOv3
* Full-Stack Savvy: Ability to manage all aspects of a cloud-based solution including testing, CI/CD, containerization, cloud infrastructure, and monitoring

**Compensation**

* $87,200 - $116,300/year depending on position level
* Gainshare annual cash incentive program up to 30% of your eligible earnings, based on company performance and job level.

**Benefits**

* 401(k) with dollar-for-dollar company match up to 6%
* Medical, dental & vision, including free preventative care
* Wellness & mental health programs
* Health care flexible spending accounts, health savings accounts, & life insurance
* Paid time off including volunteer time off
* Paid & unpaid sick leave where applicable, as well as short & long-term disability
* Parental & family leave; military leave & pay
* Diverse, inclusive & welcoming culture with Employee Resource Groups
* Career development & tuition assistance
* Onsite gym & healthcare at large locations

Energage recognizes Progressive as a 2025 Top Workplace for: Innovation, Purposes & Values, Work-Life Flexibility, Compensation & Benefits, and Leadership.

Equal Opportunity Employer

Sponsorship for work authorization is available for this position for candidates who hold an H-1B Visa.

For ideas about how you might be able to protect yourself from job scams, visit our scam-awareness page at https://www.progressive.com/careers/how-we-hire/faq/job-scams/

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