Overview
On Site
180k - 200k
Full Time
Skills
Recruiting
Payments
Finance
Innovation
Product Design
Management
Computer Science
Statistics
Predictive Modelling
Python
Pandas
PyTorch
TensorFlow
JAX
scikit-learn
SQL
Big Data
Snow Flake Schema
Apache Spark
Prompt Engineering
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Orchestration
Docker
Kubernetes
Workflow
GraphQL
Communication
Generative Artificial Intelligence (AI)
Continuous Integration
Continuous Delivery
Product Strategy
Data Science
Roadmaps
Project Implementation
Marketing
Modeling
A/B Testing
Training
Machine Learning Operations (ML Ops)
Collaboration
Research
Mentorship
Machine Learning (ML)
Privacy
Artificial Intelligence
Startups
SAP BASIS
Job Details
Job Description
We're hiring a full-time Data Scientist, Personalization & Insights to join our in-office team in Irvine, CA. This role supports an innovative financial rewards platform that transforms rent payments into meaningful financial opportunities for renters across the U.S. Through cashback rewards, flexible payment options, and personalized insights, the platform helps reduce financial stress while creating value for both property managers and advertisers.
The mission is bold: to empower renters by turning rent, a typically rigid and unrewarding expense, into a source of financial strength. The platform operates at the intersection of fintech, prop-tech, and ad-tech, creating a connected ecosystem of value and innovation.
In this role, you'll design and deploy machine learning solutions that power personalization, recommendation systems, and actionable insights for renters. You'll collaborate closely with engineering, product, design, and marketing teams to deliver impactful, responsible AI solutions. This position is ideal for a highly technical data scientist who thrives in a fast-paced startup setting and is eager to make a direct impact.
Required Skills & Experience
MS or PhD in Computer Science, Statistics, or a related quantitative discipline
5+ years of experience building and deploying machine learning systems at scale (e.g., recommender systems, predictive modeling, or ad-tech)
Proven track record of deploying ML models from prototype to production with measurable business results
Expertise in Python (Pandas, PyTorch/TensorFlow/JAX, scikit-learn)
Strong SQL proficiency; experience with big data tools (Snowflake, Spark, BigQuery)
Hands-on experience with GenAI/LLM workflows (prompt engineering, fine-tuning, vector DBs, RAG pipelines)
Familiarity with cloud ML Ops (AWS/Google Cloud Platform/Azure), container orchestration (Docker/Kubernetes), workflow automation (Airflow/Kubeflow)
Experience building and exposing ML services via scalable APIs (REST, GraphQL, gRPC)
Understanding of consumer privacy regulations (GDPR, CCPA/CPRA)
Strong communication skills and product intuition
What You Will Be Doing
As a Data Scientist, you'll:
Design, train, and deploy personalization and recommendation models that drive in-app experiences
Build generative AI solutions to personalize copy, creative, and conversations
Develop segmentation and predictive models to uncover actionable renter insights
Build ML Ops infrastructure: feature stores, CI/CD pipelines, A/B testing, model monitoring
Define success metrics and measure the impact of ML features
Expose low-latency model inference services via APIs
Translate product strategy into a data science roadmap and project execution
Conduct experimentation to continuously improve engagement and performance
Contribute to the future of responsible AI at Fancy through mentorship and governance
Collaborate across design, engineering, and marketing to shape data-informed experiences
Desired Skills & Experience
Experience in prop-tech, fintech rewards, or credit-building tools
Background in ad-tech, attribution modeling, or two-sided marketplaces
Knowledge of causal inference and A/B testing frameworks
Passion for building consumer-facing products with measurable value
Tech Breakdown
40%: Model design, training, and production deployment
25%: Infrastructure and ML Ops
20%: Cross-functional collaboration
15%: Research, experimentation, and mentorship
Daily Responsibilities
Drive end-to-end development of ML-driven personalization systems
Build tooling and infrastructure to support rapid model iteration
Translate user behavior into measurable signals and actions
Ensure privacy, fairness, and explainability in AI systems
Balance fast delivery with long-term technical excellence
Benefits Include
100% employer-paid medical, dental, and vision for you and your dependents
Equity opportunity
Mission-driven, startup culture that values ownership, curiosity, and authenticity
Applicants must be authorized to work in the U.S. now and in the future, on a full-time basis.
We're hiring a full-time Data Scientist, Personalization & Insights to join our in-office team in Irvine, CA. This role supports an innovative financial rewards platform that transforms rent payments into meaningful financial opportunities for renters across the U.S. Through cashback rewards, flexible payment options, and personalized insights, the platform helps reduce financial stress while creating value for both property managers and advertisers.
The mission is bold: to empower renters by turning rent, a typically rigid and unrewarding expense, into a source of financial strength. The platform operates at the intersection of fintech, prop-tech, and ad-tech, creating a connected ecosystem of value and innovation.
In this role, you'll design and deploy machine learning solutions that power personalization, recommendation systems, and actionable insights for renters. You'll collaborate closely with engineering, product, design, and marketing teams to deliver impactful, responsible AI solutions. This position is ideal for a highly technical data scientist who thrives in a fast-paced startup setting and is eager to make a direct impact.
Required Skills & Experience
MS or PhD in Computer Science, Statistics, or a related quantitative discipline
5+ years of experience building and deploying machine learning systems at scale (e.g., recommender systems, predictive modeling, or ad-tech)
Proven track record of deploying ML models from prototype to production with measurable business results
Expertise in Python (Pandas, PyTorch/TensorFlow/JAX, scikit-learn)
Strong SQL proficiency; experience with big data tools (Snowflake, Spark, BigQuery)
Hands-on experience with GenAI/LLM workflows (prompt engineering, fine-tuning, vector DBs, RAG pipelines)
Familiarity with cloud ML Ops (AWS/Google Cloud Platform/Azure), container orchestration (Docker/Kubernetes), workflow automation (Airflow/Kubeflow)
Experience building and exposing ML services via scalable APIs (REST, GraphQL, gRPC)
Understanding of consumer privacy regulations (GDPR, CCPA/CPRA)
Strong communication skills and product intuition
What You Will Be Doing
As a Data Scientist, you'll:
Design, train, and deploy personalization and recommendation models that drive in-app experiences
Build generative AI solutions to personalize copy, creative, and conversations
Develop segmentation and predictive models to uncover actionable renter insights
Build ML Ops infrastructure: feature stores, CI/CD pipelines, A/B testing, model monitoring
Define success metrics and measure the impact of ML features
Expose low-latency model inference services via APIs
Translate product strategy into a data science roadmap and project execution
Conduct experimentation to continuously improve engagement and performance
Contribute to the future of responsible AI at Fancy through mentorship and governance
Collaborate across design, engineering, and marketing to shape data-informed experiences
Desired Skills & Experience
Experience in prop-tech, fintech rewards, or credit-building tools
Background in ad-tech, attribution modeling, or two-sided marketplaces
Knowledge of causal inference and A/B testing frameworks
Passion for building consumer-facing products with measurable value
Tech Breakdown
40%: Model design, training, and production deployment
25%: Infrastructure and ML Ops
20%: Cross-functional collaboration
15%: Research, experimentation, and mentorship
Daily Responsibilities
Drive end-to-end development of ML-driven personalization systems
Build tooling and infrastructure to support rapid model iteration
Translate user behavior into measurable signals and actions
Ensure privacy, fairness, and explainability in AI systems
Balance fast delivery with long-term technical excellence
Benefits Include
100% employer-paid medical, dental, and vision for you and your dependents
Equity opportunity
Mission-driven, startup culture that values ownership, curiosity, and authenticity
Applicants must be authorized to work in the U.S. now and in the future, on a full-time basis.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.