Senior Data Scientist

Company: Angi®

Position Overview: Angi® is seeking an exceptional Senior Data Scientist to join our Data Science & Machine Learning team. This role is crucial in enabling Angi's transformation into a world-class online marketplace. You will tackle challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience.

About Angi®: Angi® is the home for everything home. From repairs and renovations to products and financing, Angi is transforming every touch point in home services. With a rich history spanning 25 years and a network of nearly 250,000 skilled professionals, we have helped more than 150 million people with their home needs. We are at a pivotal moment in Angi’s evolution where we are shifting from a primarily lead generation business to a marketplace which can truly change over Homeowners’ life by making it hassle free. We believe that the home is the most important place on earth and we are at the beginning of our ambitious journey to redefine how people care for their homes and professionals get their leads.

• A new homeowner turns to Angi every second.
• Our network has 150,000+ skilled pros in 50+ service categories.
• 150,000,000+ projects brought to Angi (and counting).

Why join Angi: Angi® is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well. We believe home is the most important place on earth, and so we work hard for our homeowners and our pros — making a real impact on families, communities, and livelihoods. Angi is an amazing place to call home.

Responsibilities:

• Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates.
• Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes.
• Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions.
• Collaboration with Cross-Functional Teams: Work closely with engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment.
• 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.

Requirements:

• Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
• 5+ years of experience in data science & machine learning.

Salary: Not specified

Location Type: Not specified

Employment Type: Not specified