Perform exploratory analysis to identify high-impact opportunities for AI-driven optimization and automation.
Design, build, fine-tune, and deploy machine learning models for: Marketing propensity modeling, Personalized loan offers and recommendations, Next-best-action and engagement optimization, Credit improvement and financial health predictions.
Adapt and fine-tune foundation models and LLMs for domain-specific use cases including recommendation engines, intelligent copilots, and conversational insights.
Partner closely with engineering teams to productionize models with strong considerations for latency, monitoring, reliability, and cost efficiency.
Help engineering build reusable ML frameworks, feature pipelines, and experimentation infrastructure to accelerate AI innovation.
Contribute to experimentation design (A/B testing, uplift modeling, bandits) to measure real business impact.
Work cross-functionally with Product and Business stakeholders to translate AI capabilities into measurable outcomes.
Implement model monitoring, drift detection, and performance tracking to ensure long-term reliability.
Follow responsible AI practices, ensuring fairness, transparency, and appropriate governance.

Requirements

Master’s or PhD in Computer Science, Statistics, Data Science, or related field (or equivalent experience)
6+ years of professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment
Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.)
Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks
Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and PyTorch for model development
Familiarity with LLMs and generative AI frameworks (HuggingFace, LangChain, OpenAI APIs, etc.)
Experience deploying machine learning models into production environments with considerations for scalability and latency
Strong business acumen with the ability to translate complex analytical outputs into actionable recommendations

Benefits

Annual Bonus Potential + Equity Compensation package
Vacation/Paid time off
Medical, Dental, Vision – 100% premium paid for employee
Opportunity for career growth and challenge
Beautiful California East Bay offices in Dublin

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAI-driven optimizationexploratory analysismarketing propensity modelingpersonalized loan offersA/B testingXGBoostneural networksSQLPython

Soft Skills

business acumencross-functional collaborationcommunicationproblem-solvinganalytical thinking

Certifications

Master’s in Computer SciencePhD in StatisticsPhD in Data Science