Job Application for Staff Data Scientist, Fraud at Angi

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 - $260,000 commensurate 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

First Name

Last Name

Phone

Resume/CV

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Website

How did you hear about this job?

Are you a U.S. citizen, a lawful permanent resident, a refugee, an asylee, or a temporary resident as a result of amnesty?

Select...

Will you now or in the future require the Company's assistance with any immigration matter related to employment?

Select...

What is your target salary range for a new role?

ANGI APPLICANT CALIFORNIA CONSUMER PRIVACY ACT NOTICE We are providing this notice to our applicants as required under the California Consumer Privacy Act, which became effective January 1, 2020. We collect the below categories of personal information from you in connection with your potential employment with Angi for our purposes, including performing services and operations related to your employment; providing benefits, payroll, and other HR functions; security; quality and safety assurance; and compliance with laws and regulations. Identifiers (This may include but is not limited to name, address, email address, social security number, and driver’s license number) Personal Records (This may include but is not limited to telephone number, education and employment history, and bank account number) Personal Characteristics and Traits (This may include but is not limited to: sex, marital status, veteran status, familial status, race, disability, and gender identity) Commercial Information (This may include but is not limited to benefits records and records of reimbursements of expenses) Sensory Data (This may include but is not limited to audio and/or visual recordings such as through security cameras in the workplace) Professional and Employment Information (This may include but is not limited to resume, background check results, and references) Non-public Education Records (This may include but is not limited to: educational institution transcripts and records)

Select...

GDPR Info

Please provide your full home mailing address.

Example format:

Street Address

City, State Zip Code

Angi Voluntary Demographics

At Angi, we strive to make our services universally available & easily accessible for every home. Similarly, within our workplace, we value diversity and continually work to create an environment where everyone, regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation feels included and impactful in our mission to change the way home services are purchased and served around the world.

In order to help us identify areas for improvement in our recruitment funnel as it relates to diversity, we have listed a set of voluntary demographic questions below that will be used in aggregate only. Your choice to answer these questions, or not, will not be considered in any way in the hiring process, the hiring decision, or thereafter. Any information that you do provide will be recorded and maintained in a confidential file and will not be connected to your specific application.

Which categories describe you? Select all that apply to you:

Select...

What is your current gender identity?

Select...

Staff Data Scientist, Fraud

Apply for this job

Angi Voluntary Demographics