Job Url: https://www.remoterocketship.com/company/thrivent/jobs/data-scientist-united-states-remote Job Description: Thrivent Website LinkedIn All Job Openings Thrivent is a holistic financial services organization that provides advice, investments, insurance, banking, and generosity programs. With a mission to reimagine financial services, Thrivent helps individuals and communities thrive by viewing money as a tool rather than a goal. Serving over 2 million clients, Thrivent is dedicated to helping them build their financial futures while living meaningful lives. The company is committed to diversity, equity, and inclusion, and it provides competitive compensation, professional growth opportunities, and programs to amplify generosity and impact. As a recognized leader in ethical financial practices, Thrivent has been named one of the "World's Most Ethical Companies" by the Ethisphere Institute and is included in Forbes' list of America's Best Insurance Companies. We offer financial advice β€’ investments β€’ insurance β€’ banking and generosity programs. 5001 - 10000 employees Founded 1922 🏦 Banking πŸ’Έ Finance Data Scientist 14 hours ago ❄️ Minnesota – Remote πŸ’΅ $118.1k - $159.8k / year ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ“Š Data Scientist πŸ¦… H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Lead medium to complex data projects. β€’ Apply advanced analytical techniques, predictive modeling, and machine learning algorithms. β€’ Provide mentorship to junior colleagues. β€’ Collaborate with senior team members on strategic projects. β€’ Drive data-informed decisions and influence business strategies. 🎯 Requirements β€’ Bachelor’s degree in Data Science or a related quantitative field such as Statistics, Mathematics, Computer Science. β€’ 3-5 years of relevant experience in data science or a closely related field. β€’ Proficiency in data science languages, predominantly Python, with an emphasis on writing production-ready code and a solid understanding of code efficiency and scalability. β€’ Strong foundation in feature engineering practices: including building reusable data pipelines, orchestrating workflows, and integrating model-ready features in production environments. β€’ Ability to develop, tune, and implement models independently. πŸ–οΈ Benefits β€’ various bonuses (including, for example, annual or long-term incentives); β€’ medical, dental, and vision insurance; β€’ health savings account; β€’ flexible spending account; β€’ 401k; β€’ pension; β€’ life and accidental death and dismemberment insurance; β€’ disability insurance; β€’ supplemental protection insurance; β€’ 20 days of Paid Time Off each year; β€’ Sick and Safe Time; β€’ 10 paid company holidays; β€’ Volunteer Time Off; β€’ paid parental leave; β€’ EAP; β€’ well-being benefits, β€’ and other employee benefits.