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Senior Data Scientist

New York - Remote

At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.

Angi at a glance:

  • 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. 

For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business. 

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. We can’t wait to welcome you.

Job Description

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 - join us! 

About the role:

Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience.

What you’ll do: 

  • 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 - critical metrics for business success.
  • 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 to enable fast, reliable delivery of machine learning solutions into production environments.  
  • 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 a strong team of 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, 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 data science 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 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. 
  • You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. 
  • 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.

Compensation & Benefits: 

  • The salary band for this position ranges from $150,000 to $220,000, 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 
  • Retirement plan with company match (401K) and parental leave benefits
  • The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote
#BI-Remote

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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.
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