Senior Data Scientist

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November 24

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Ziff Davis

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Media • Technology • Internet

Ziff Davis is a multi-billion dollar digital media and internet company, home to over 40 leading brands in technology, shopping, gaming and entertainment, connectivity, health and wellness, cybersecurity, and martech. With a focus on mergers and acquisitions, Ziff Davis has deployed around $3 billion in capital, leveraging its deep industry knowledge, technological expertise, and investment acumen. The company is committed to corporate responsibility, emphasizing diversity, equity, and inclusion, as well as environmental, social, and governance practices. Ziff Davis serves millions of customers worldwide, offering a diverse range of digital media and internet services.

1001 - 5000 employees

Founded 1927

📱 Media

💰 $650M Post-IPO Debt on 2017-06

📋 Description

• Work closely with business stakeholders to identify new strategic opportunities • Collaborate closely with other teams within CNET Tech and Data • Design and implement advanced data science solutions • Grow solid understanding of our unique AdTech and MarTech stacks • Pitch and present to senior leaders and stakeholders • Participate in the broader data science community within Ziff Davis • Help create and promote an inclusive environment • Clearly articulate the “why” behind proposed data science solutions • Vet and evaluate tradeoffs for using 3P solutions versus developing in-house • Own and methodically understand complex business context

🎯 Requirements

• 5+ years of professional experience in a data science role • ideally with an MS in STEM with a focus in computer science, ML, statistical modeling, or optimization • Bias to action, with a strong sense of execution • Proactive and influential communicator • Extensive experience with end-to-end model development, deployment, and monitoring workflows, including MLOps best practices. • Demonstrated ability to leverage the latest advancements in Artificial Intelligence (AI) and LLMs • Proficiency in Python and SQL • extensive experience working in Databricks • strong understanding of scalable data processing • Extensive experience with marketing or media specific data science challenges • Strong foundation in statistical principles • Experience building personalized and/or real-time recommender systems • Ability to own key deliverables, drive complex projects to completion on time • Ability to communicate project status, timelines, and complex technical results to broad audiences • Extensive experience participating in scoping data science projects, owning their own execution, and leading small project teams • Experience developing skills specific to a specialization or expertise through research skills like literature reviews

🏖️ Benefits

• comprehensive medical, dental, and vision coverage • life and disability benefits • Flexible Spending Accounts (FSAs) • 401(k) with company match • Employee Stock Purchase Plan • Flexible Time Off • Volunteer Time Off • paid holidays • family building and caregiving support • generous Family Care and Parental leave • Fitness Reimbursement • access to wellness programs • educational support • mentorship programs • career development resources • employee engagement programs • recognition awards