SavvyMoney · 1 day ago
Data Scientist (Dublin, CA)
SavvyMoney is a leading San Francisco East Bay fintech company providing integrated credit score and personal finance solutions. The Data Scientist will lead initiatives in predictive modeling and AI-driven financial recommendations, collaborating with engineering and product teams to deploy models and generate actionable insights.
Responsibilities
Perform exploratory and statistical data analysis to identify opportunities for model development and business optimization
Design, build, and optimize machine learning models for:Marketing propensity modeling
Personalized loan offers and recommendations
Next-best-action predictions for improving credit scores
Prototype solutions using advanced AI techniques to accelerate experimentation
Partner with engineering teams to productionize models in a scalable and latency-conscious environment
Query and analyze large datasets to uncover business insights and support decision-making
Collaborate with business and product stakeholders to define problems, scope analyses, and deliver ad-hoc reports and dashboards
Develop reusable frameworks, pipelines, and tools to accelerate model development and deployment
Document methodologies, models, and assumptions to ensure clarity, reproducibility, and knowledge sharing
Follow ethical AI principles and established guardrails to ensure fairness, transparency, and unbiased predictions
Qualification
Required
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
Excellent communication skills to collaborate with both technical and non-technical stakeholders
Preferred
Experience with cloud-based platforms (AWS, GCP, or Azure) for model training and deployment
Knowledge of MLOps tools and practices (MLflow, Airflow, Kubeflow, Docker, etc.)
Understanding of credit risk modeling, financial products, or consumer lending
Experience working with APIs, real-time scoring, and event-driven architectures
Benefits
Annual Bonus potential
Equity compensation package
Flexible Time Off Policy (Take time as you need it)
401(k) with Employer contribution
Medical, Dental, Vision – 100% premium paid for employee
Opportunity for career growth and challenge
Beautiful California East Bay offices in Dublin, CA
Company
SavvyMoney
SavvyMoney is a fintech platform that partners with banks to provide their customers with free credit scores and financial wellness tools.
H1B Sponsorship
SavvyMoney has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2023 (1)
Funding
Current Stage
Late StageTotal Funding
$272MKey Investors
Spectrum EquityTransUnion
2025-10-27Private Equity· $225M
2022-01-25Private Equity· $45M
2016-09-23Series D
Recent News
2025-11-05
Fintech Schweiz Digital Finance News - FintechNewsCH
2025-11-04
vcnewsdaily.com
2025-11-02
Company data provided by crunchbase