Senior Data Scientist

Job not on LinkedIn

August 26

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The Muse

WebsiteLinkedInAll Job Openings

B2C • Recruitment • SaaS

The Muse is an online platform that helps job seekers find work that aligns with their values, needs, and career aspirations. The company provides behind-the-scenes looks at company cultures, advice, coaching, and resources to explore job opportunities and apply with confidence. It focuses on matching candidates with employers based on cultural fit and shared values, offering insights into company environments to ensure applicants find the right workplace. The Muse caters to individuals seeking meaningful career paths and aims to facilitate better job matches for long-term satisfaction and success.

51 - 200 employees

Founded 2011

👥 B2C

🎯 Recruiter

☁️ SaaS

📋 Description

• Analyze large and complex datasets to uncover patterns, generate insights, and support strategic decision-making. • Build predictive models and machine learning algorithms to address a wide range of business problems. • Create scalable data pipelines and streamline processes through automation. • Collaborate with cross-functional teams including underwriting, claims, risk, actuarial, and marketing to understand needs and deliver data science solutions that matter. • Communicate results and recommendations clearly to both technical and non-technical stakeholders through presentations, visualizations, and written reports. • Develop high-quality modeling datasets by integrating internal and third-party data sources. • Monitor deployed models and continuously improve performance through evaluation, tuning, and retraining. • Work with a modern tech stack that includes Python, SQL, Databricks, dbt, GitHub, Hex, Arize, and other contemporary platforms and tools.

🎯 Requirements

• 3 to 5 years of experience in data science, applying statistical and machine learning techniques to solve business problems. • At least 2 years of experience working in the Property & Casualty (P&C) insurance industry. • Proficient in Python (pandas, NumPy, scikit-learn, and others) for data science and machine learning. • Proficient in SQL for data querying and management. • Strong working experience with Git and version control workflows in a collaborative environment. • Familiarity with tools for data visualization (e.g., matplotlib, seaborn, Plotly), and experience communicating findings through dashboards or reporting tools. • Comfort working with modern ML/AI libraries and techniques; exposure to natural language processing, geospatial data, or unstructured data (e.g., text, image, audio) is a plus. • Experience querying large databases and transforming raw data into structured modeling-ready datasets. • A collaborative mindset with the ability to take ownership and work independently in a fast-paced, cross-functional setting. • A Bachelor's degree or higher in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, or Applied Mathematics.

🏖️ Benefits

• PURE’s investment in data and technology is part of a larger, long-term strategy to drive sustainable growth, reduce friction, prevent losses, and expand solutions for our members. • Joining a collaborative and high-performing team where ownership, transparency, and impact are core. • Resources and support to pursue personal passions and development. • Learn more about our culture on LinkedIn.