Data Scientist - Forecasting and Attribution

Data Scientist - Forecasting and Attribution

This job is no longer open

Data Scientist - Forecasting & Attribution 

WHAT WE DO MATTERS:

Here at The Knot Worldwide, we believe in doing work that matters. In 16 countries around the world, our leading family of brands (The Knot, WeddingWire, Bodas, Hitched, The Bash, The Bump, and more) inspire, inform, and celebrate our communities as they move through life’s milestones. Our couples and business partners depend on us. They're all in. So are we.

ABOUT THE ROLE AND OUR TEAM:

We are looking for an Economist with a background in time series forecasting to support our demand models for our marketplace and ecommerce businesses. Our marketplace connects over 2 million engaged couples with +50,000 local wedding vendors (e.g. Venue, DJ, Florist, etc.) across the US each year while our ecommerce businesses help couples create their registry, connect with their guests and utilize our paper invitation offerings.

This role will work closely with our Data Scientists, Data Analysts and business teams including our marketing specialists. You should have experience and a curiosity to develop yourself around forecasting techniques.

RESPONSIBILITIES:

  • Design and implement statistical, machine learning, and hybrid time series forecasting models, particularly within a hierarchical context 
  • Identify drivers of value creation
  • Create data solutions for ambiguous business problems
  • Collaborate with business stakeholders, data engineers, data scientists, and data analysts to drive end-to-end success of your solutions
  • Communicate the value of your work to a broad audience, both business and technical

SUCCESSFUL CANDIDATES HAVE:

  • Ph.D. in Economics and 2+ years of experience
  • Proficiency at either Python or R
  • Proficiency in key statistical and machine learning techniques (predictive modeling, classification, forecasting, and other advanced techniques)
  • Experience building time series forecasting models leveraging machine learning, statistical, econometric, and/or hybrid models
  • Ability to communicate effectively and influence others
  • Ability to work in a fast paced environment and shift gears quickly.
  • At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference!

WHAT WE LOVE ABOUT YOU:

  • You Dream Big. You iterate and experiment to drive innovation.
  • You Love Our Users. You keep our global community at the center of everything you do.
  • You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion.
  • You Hustle Every Day. You favor urgency and own your outcomes. 
  • You Win Together. People are at the heart of our success and you play as a team.

WHAT YOU LOVE ABOUT US:

The Knot Worldwide offers a unique employee experience and we are deeply proud of our award-winning culture. We offer a full benefits package including options for medical, dental and vision insurance and a 401k with company match. From flexible vacation and generous parental leave benefits to promoting wellness and giving back to our community, we believe in happiness above all else—in and out of the office.

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The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

If you are a resident of California, by submitting your application, you acknowledge that you’ve read the California Privacy Notice.

#LI-KS1 #LI-Remote

This job is no longer open
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