Director, Data Science - Search and Recommendations

Sorry, this job was removed at 10:52 p.m. (EST) on Tuesday, Aug 13, 2024
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Remote
7+ Years Experience
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech • News + Entertainment
Dotdash Meredith is Amercia's largest digital and print publisher, with over 40 brands and 200 million monthly users.
The Role

About Your Role: 

Dotdash Meredith is the largest premium publisher in the world. Every day tens of millions of people come to us for help and inspiration. Our library of hundreds of millions of articles helps our users, and helps us understand the evolving needs of a world recovering from the pandemic and dealing with day-to-day challenges. As a director of search and recommendations, you will work with this incredible dataset and find opportunities to meet our users' needs. You will lead data scientists and work with our product and engineering teams to build exciting new experiences that leverage the latest in machine learning and recommendation system technologies. This role requires a deep understanding of web experiences, user analytics, and content understanding, and needs hands-on experience in building scalable and impactful recommender systems.

About your contributions: 

  • Lead and grow a high-performing data science team.

  • Provide hands-on expertise on how to build scalable and reliable recommendation systems for the web.

  • Provide strategic direction for the data science team on innovative personalization experiences that enhance user engagement and satisfaction.

  • Advocate for resources and tools to advance data capabilities.

About You:

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent work experience.

  • 7+ years of experience in data science and machine learning with a strong focus in the area of web-based personalization and recommendation systems.

  • 5+ years of experience leading a team of data scientists.

  • Extensive experience leveraging A/B testing to drive significant improvements in user experience and engagement.

  • Extensive experience in working and deploying Python-based recommender solutions.

  • Excellent communication skills and the ability to work effectively with cross-functional teams. 

  • Able to develop a vision and communicate this to stakeholders for buy-in.

  • Excellent ability to communicate results and progress to non-technical and technical audiences.

  • Strong problem-solving skills and the ability to think creatively.

Remote or Hybrid 3x a month 

In-office Expectations: This position offers remote work flexibility; however, if you reside within a commutable distance to one of our main offices in New York, Des Moines, Birmingham, Los Angeles, Chicago, or Seattle, the expectation is to work from the office three times per month.

What the Team is Saying

Vlada
Brian
Nabil
The Company
New York, NY
3,500 Employees
Hybrid Workplace
Year Founded: 2021

What We Do

Dotdash Meredith's vibrant brands help over 200 million users each month find answers, solve problems, and get inspired. Dotdash is among the largest and fastest growing publishers online, and has won over 50 awards in the last year alone, including Digiday's 2020 Publisher of the Year. Dotdash Meredith brands include Verywell, Investopedia, The Balance, The Spruce, Simply Recipes, Serious Eats, Byrdie, Brides, People, Food & Wine, Shape, Entertainment Weekly, Travel & Leisure, Better Homes and Gardens, Southern Living, Health, InStyle, Parents, EatingWell, Magnolia Journal, MyDomaine, Lifewire, TripSavvy, Liquor.com, and TreeHugger.

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Dotdash Meredith Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our employees work 3 days in office across our NYC, Des Moines, Birmingham, Seattle, LA, and Chicago locations. A couple of our orgs have remote teams (please refer to job descriptions). We are accommodating towards various exemptions and situations.

Typical time on-site: Not Specified
New York, NY

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