Senior Data Scientist

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, from choosing the right skincare routine to selecting the best mortgage option.

As a Senior Data Scientist in our Transactional Revenue team, you will play a pivotal role in harnessing the power of data to drive strategic decisions and empower our vast user base. This position offers the unique opportunity to work on significant real-world problems, developing machine learning applications and insights that have a direct business impact. You will be working alongside our top talent team, leveraging a wealth of data and insights gathered from the extensive, hands-on testing of thousands of products.

About your contributions:

• Collaborate with our stakeholders to understand business requirements & strategy, and recommend data-driven solutions.
• Develop, train, validate, monitor, and improve models on large datasets.
• Utilize advanced machine learning techniques to improve model accuracy and performance.
• Work closely with taxonomists and business partners to identify and prioritize classification and other modeling needs.
• Develop highly localized, multi-product recommendation models.
• Stay up-to-date with the latest developments in machine learning and bring new techniques and technologies to the team.

About You:

• PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent work experience.
• 3+ years of experience in data science and machine learning with a focus on retail tactic attribution modeling and recommendation systems.
• Excellent data science fundamentals, with a solid grasp of statistics and modeling techniques.
• Strong programming and code stewardship skills (Python, Julia, etc.) and experience with standard data science tools and libraries.
• Experience deploying machine learning models in production on at least one cloud platform (GCP, AWS, etc.).
• Experience with scaled use of LLMs (such as ChatGPT) is strongly preferred, including insights into the pros and cons of their usage.
• Excellent communication skills and the ability to work effectively with cross-functional teams.
• Strong problem-solving skills and the ability to think creatively.