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Lead Data Scientist - Pricing

Seattle, WA - Remote

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Angi

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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

Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to shape the vision and implementation of our 2-sided marketplace pricing strategy using state-of- the-art machine learning infrastructure and big data processing tools.

What you’ll do 

  • Leading and developing a best-in-class data science pricing program

  • Creating a strategic pricing vision and develop initiatives aimed to accomplish the vision

  • Building productive and efficient relationships with stakeholders across marketing, data/analytics,

    product, and finance

  • Creating mathematical and data driven solutions for difficult pricing problems at scale

  • Developing, maintaining, and monitoring the performance of production quality code

  • Learning the complex Angi ecosystem and historical pricing paradigms in order to be a subject matter

    expert on the data, analysis, and modeling

Who you are

  • Master’s degree in Statistics, Applied Mathematics, Economics or similar quantitative field and/or 7+ years of experience in:
  • Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning

  • Proven record of working closely with senior leadership

  • Experience with price elasticity, pricing strategy, and pricing in a 2 sided marketplace

  • Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver

    transformation through data

  • Developing predictive models and analysis using R and/or Python

  • Interacting with data using SQL

  • Excellent verbal and written communications skills

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 from $175,000-$230,000, 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-Hybrid

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Tags: Big Data Economics Finance Machine Learning Mathematics ML infrastructure Python R SQL Statistics

Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex hours Flex vacation Health care Salary bonus

Regions: Remote/Anywhere North America
Country: United States
Job stats:  11  2  0
Categories: Data Science Jobs Leadership Jobs

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