Senior Data Scientist II

A rapidly growing fintech company in North America is seeking a Senior Data Scientist II to design and develop high-impact AI/ML models that power decision-making across multiple business areas. This is a remote-first opportunity for U.S.-based professionals, offering the flexibility to work from home or in-office. You’ll be joining a forward-thinking team where your work will directly influence customer experiences, risk modeling, marketing, and advanced analytics.

Role:
🧠 Develop, validate, and deploy advanced ML and AI models for credit, fraud risk, and customer experience.
⚙️ Experiment with large-scale datasets to build predictive and generative solutions for real-world challenges.
💬 Collaborate closely with cross-functional teams including Product, Risk, and Engineering.
🧩 Provide analytical guidance, test design support, and model interpretation to business stakeholders.
🚀 Work on greenfield projects leveraging GenAI and neural network architectures.
📊 Ensure data quality, reproducibility, and scalability in production environments.

Requirements:
🎓 PhD (preferred) or Master’s in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, or similar).
💼 5+ years of experience in Data Science (including academic research).
💰 2+ years of experience with data relevant to Financial Services or fintech.
💻 Proficiency in Python and SQL; experience with Spark/PySpark preferred.
📈 Strong foundation in probability, statistics, and applied machine learning.
🧾 Experience with cashflow data (Plaid, MX, Finicity) is highly desirable.
🤖 Familiarity with Neural Networks, LLMs, and Generative AI techniques.
🧠 Excellent problem-solving skills with a self-starter mindset and strong communication abilities.
🔧 Version control experience (Git or similar).

Benefits:
💰 Salary range: $132,000 – $160,000 USD per year, plus performance-based bonus and potential equity.
🏥 100% employer-covered medical, dental, and vision insurance.
🕒 20 days PTO annually + generous parental leave.
📚 Annual learning and wellness stipends.
💼 401(k) with company match.
🏡 Flexible working culture with hybrid or fully remote options.
🌎 Inclusive, diverse environment with equal opportunity hiring.

Skills:
Data Science, Python, SQL, Spark, PySpark, AI, Machine Learning, Deep Learning, LLMs, GenAI, Risk Modeling, Credit Risk, Fraud Detection, Financial Data, Predictive Analytics, Data Engineering, Fintech