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Data Science Lead

4 weeks ago

Denver, Colorado, United States Angi Full time

About Angi

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At Angi, we strive to make home service jobs easier for homeowners. Our mission has driven us to connect over 150 million homeowners with skilled local professionals. Today, our network spans over 200,000 pros, and our platform streamlines finding the right one for projects.

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We're seeking an exceptional Senior Data Scientist to drive transformation into a world-class online marketplace. This role is in our Data Science & Machine Learning team, tackling challenges such as Service Professional retention, lifetime value modeling, sales prospect scoring, and predictive models for product optimization.

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As a key member of this team, you'll develop predictive models and algorithms to enhance our Service Professional product and operations. Your success will impact user experience, engagement, retention, and sales conversion rates, which are critical for business success.

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You'll implement robust MLOps practices to ensure 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.

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Key Responsibilities:

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  • Data Strategy & Model Development: Lead development of predictive models and algorithms to improve our Service Professional product and operations.\
  • Model Deployment: Implement robust MLOps practices to ensure seamless deployment and scalability of predictive models.\
  • Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions.\
  • Cross-Functional Collaboration: Work closely with engineers, product managers, sales directors, and designers to build scalable and high-impact solutions.\
  • 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.
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Requirements:

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  • A 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, ideally within the tech industry & marketplace environments.\
  • An expert in machine learning and statistical model development and experience designing experiments to evaluate and measure the impact of your models.\
  • A proven track record of deploying highly impactful machine learning models into production environments.\
  • Proficiency in SQL and Python and/or R, and experience with cloud ML solutions.\
  • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
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Compensation & Benefits:

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  • The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance.\
  • 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.