Job Url: https://www.remoterocketship.com/company/upgrade/jobs/lead-data-scientist-united-states Job Description: Upgrade, Inc. Website LinkedIn All Job Openings Upgrade, Inc. is a company that focuses on providing personalized experiences on its website and mobile application through the use of cookies and other tracking technologies. The company emphasizes user privacy and allows users, particularly those in California, to opt out of the sharing of personal information for cross-context behavioral advertising. Upgrade, Inc. collects information such as user preferences or device details to enhance site functionality and deliver tailored product and service information. It prioritizes the functionality of its site through essential cookies while offering options for users to manage their privacy settings and consent preferences. FinTech β€’ Personal Loans β€’ Credit Monitoring β€’ Consumer Credit β€’ Credit Lines 1001 - 5000 employees Founded 2017 πŸ“‹ Compliance ☁️ SaaS Lead Data Scientist 3 days ago πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟠 Senior πŸ“Š Data Scientist Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Build and deploy ML/AI models to solve business problems in areas like prospect targeting, credit risk, fraud detection, pricing, verification and loss forecasting. β€’ Analyze large, structured and unstructured datasets using SQL, Python or similar tools. β€’ Evaluate existing customer data, new third party or alternative data to enhance the feature list and work with data engineering and analytics teams to build scalable and durable feature engineering process. β€’ Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development. β€’ Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies. 🎯 Requirements β€’ Advanced Degree (MS/PhD) in Data Science, Engineering, Statistics, Mathematics, Computer Science, or a related quantitative discipline. β€’ 5-10 years of hands-on experience in a data science or analytics role, preferably in financial services. β€’ Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL. β€’ Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.). β€’ Detail oriented and strong analytical skill set. β€’ Proactive, driven, and ability to work in a fast-paced environment. πŸ–οΈ Benefits β€’ Competitive salary and stock option plan β€’ 100% paid coverage of medical, dental and vision insurance β€’ Competitive 401(k) and RRSP program β€’ Flexible PTO β€’ Opportunities for professional growth and development β€’ Paid parental leave β€’ Health & wellness initiatives