Angi
Staff Data Scientist, Fraud
Angi, San Francisco, California, United States, 94199
At Angi, we have one simple mission: Get all your home service jobs done well. That's how we've helped over 150 million homeowners care for their homes over the last 25+ years. Today, our network has grown to over 200,000 skilled local pros - and our platform has made it easier than ever to find the right one for your project, from repairs to renovations and everything in between.
About the team
Angi is seeking an exceptional Staff Data Scientist who can enable our transformation into a world-class online marketplace. Our Data Science and Machine Learning team uses state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. The fraud detection team is dedicated to maintaining the integrity of the platform by actively protecting both homeowners and pros from fraud. We develop models to screen and onboard new users, verify user authenticity, prevent spam, and remove misleading reviews & profiles. Our efforts extend to ensuring the quality of interactions so that every experience on Angi builds confidence and trust in the platform.
In addition to developing models, we're also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically working closely with our Machine learning engineers and data platform team.
What you'll do
Model Development & Data Strategy: Lead development of state-of-the-art machine learning models and algorithms to improve fraud detection in both sides of the marketplace and booking process. This will include but not limited to having expertise in the fraud domain and building models with high efficiencies. Success in these areas will impact reducing the risk and fraud and improving user experience as critical metrics for business success. Model Deployment: Implement highly optimized models to ensure the seamless deployment and scalability in production. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia. Who you are
You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments with focus on fraud. You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. You have expertise in state-of-the-art algorithms such as Graph NN, Reinforcement Learning and other unsupervised learning approaches for detecting transactional and non-transactional frauds. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
The salary band for this position ranges$190,000 - $260,000commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Pet discount plans & retirement plan with company match (401K) The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
#LI-Remote #BI-Remote
About the team
Angi is seeking an exceptional Staff Data Scientist who can enable our transformation into a world-class online marketplace. Our Data Science and Machine Learning team uses state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. The fraud detection team is dedicated to maintaining the integrity of the platform by actively protecting both homeowners and pros from fraud. We develop models to screen and onboard new users, verify user authenticity, prevent spam, and remove misleading reviews & profiles. Our efforts extend to ensuring the quality of interactions so that every experience on Angi builds confidence and trust in the platform.
In addition to developing models, we're also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically working closely with our Machine learning engineers and data platform team.
What you'll do
Model Development & Data Strategy: Lead development of state-of-the-art machine learning models and algorithms to improve fraud detection in both sides of the marketplace and booking process. This will include but not limited to having expertise in the fraud domain and building models with high efficiencies. Success in these areas will impact reducing the risk and fraud and improving user experience as critical metrics for business success. Model Deployment: Implement highly optimized models to ensure the seamless deployment and scalability in production. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia. Who you are
You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments with focus on fraud. You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. You have expertise in state-of-the-art algorithms such as Graph NN, Reinforcement Learning and other unsupervised learning approaches for detecting transactional and non-transactional frauds. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
The salary band for this position ranges$190,000 - $260,000commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Pet discount plans & retirement plan with company match (401K) The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
#LI-Remote #BI-Remote