Director, Data Science & Machine Learning

Angi® is transforming the home services industry, creating an environment for homeowners, service professionals and employees to feel right at home.

For most home maintenance needs, our platform makes it easier than ever to find a qualified service professional for indoor and outdoor jobs, home renovations (or anything in between!).

We are on a mission to become the home for everything home by helping small businesses thrive and providing solutions to financing and booking home jobs with just a few clicks.

Over the last 25 years we have opened our doors to a network of over 200K service professionals and helped over 150 million homeowners love where they live.

We believe home is the most important place on earth and are embarking on a journey to redefine how people care for their homes.

Angi is an amazing place to build your dream career, join us we cannot wait to welcome you home!

About The Role

Angi is seeking an exceptional Director of Data Science and Machine Learning to be a driving force behind Angi's transformation.

The role is to lead our innovative Matching and Ranking team, tackling challenges such as homeowner-pro matching, search ranking, building dynamic pricing models, and using predictive models to optimize our product and consumer experience.

This is a leadership role, developing a team of dedicated machine learning scientists using state-of-the-art machine learning techniques with both structured and unstructured data.

In addition to being a leader, we’re also looking for someone who can dive into tech and get their hands dirty to solve some of Angi’s biggest technical challenges.

What you’ll do :

Leadership : Lead and grow a team of talented machine learning & data scientists, providing guidance, mentorship, and support to foster professional growth.

For our most complex challenges, you will dive into the tech to work through solutioning alongside your team.

Model Development & Data Strategy : Oversee the development and deployment of machine learning models and algorithms to improve our search ranking, pricing our pro product, and how we match consumers with pros.

Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success.

Collaboration with Cross-Functional Teams : Work closely with a strong team of engineers, 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.

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 10+ years of experience in data science & machine learning, with a focus on product personalization, ideally within the tech industry & marketplace environments.
• You have a proven track record of managing & developing a high-performing data science and machine learning team.
• You are an expert in machine learning and deep learning, and have a good working knowledge of large language models.
• You are proficient in SQL and Python. You are not afraid to roll up your sleeves and get in the weeds with your team where needed.
• You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

Compensation & Benefits :

• The salary band for this position ranges from $220,000-$300,000, 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
30+ days ago