Pay Philosophy
The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

Description
The USDS PL & BL Tools teams are seeking two experienced software engineers or ML Ops engineers to join a dynamic and growing team. In this position, you will work on highly complex technical projects and drive forward solutions to improve the speed, accuracy, and cross-functional collaboration across Product Delivery. You will be a key player enabling Liberty to achieve our profitable growth aspirations, driving highly visible and critically important projects to support new and renewal products. While your work will primarily focus on architecting and developing technical solutions for Business Lines product launches, you may also lead process improvement initiatives where your efforts will improve the day-to-day operations within Product Delivery. In this position, you will use data, Python, and AWS to build cutting-edge analytics tools for launching new products to market quickly and accurately. You will also develop and leverage product knowledge and communication skills as you create flexible and innovative tool solutions, contributing to a best-in-class data science organization.

• Build and deploy best-in-class applications, processes, and ML models into production. Establishes controls around data quality, governance, and tool accuracy.
• Evaluate and make recommendations on product design (block diagramming, working with APIs, completing software requirement analysis)
• Architect and develop software solutions as a key contributor within an Agile team with an emphasis on ongoing code quality & process improvements (performance analysis, code optimization, troubleshooting/debugging application errors, unit/load testing)
• Perform application monitoring and troubleshooting of application errors
• Deploying ML models into production environments.
• Collaborate with Design and Modeling partners, the Data Office, and other key stakeholders to efficiently and accurately build out analytics tools.
• Contribute to the underlying analysis of critical projects enabling profitable growth in our US business lines.
• Provide subject matter expertise on the appropriate tools and techniques to perform analysis.
• Serve as a team member and may lead medium-term and/or moderate-complexity projects.
• Serve as ad hoc resource and mentor for less experienced analysts.
• May analyze, evaluate, and implement vendor products.

• Proficient in Python, SQL, or another Object-oriented programming language.
• Experienced in AWS or another cloud computing platform.
• Familiar with Git and CI/CD
• Some Exposure to docker, Kubernetes, MLFlow and Airflow.
• Familiarity with React or angular is a plus but not required
• MLOps experience is a plus

• Bachelor's degree in mathematics, economics, statistics, or other quantitative field Minimum 4 year's relevant work experience, typically 6 years.
• Master's degree beneficial. Advanced proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem).
• Must have strong planning, organizational, analytical, decision making and communication skills.
• Experience managing projects preferred.

• California
• San Francisco
• Los Angeles
• Philadelphia