Condé Nast is a global media company producing the highest quality content that reaches over 500 million monthly users in 32 territories through digital, video, social platforms and print. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, The New Yorker, Wired, Vanity Fair, Glamour, Self, GQ, Condé Nast Traveler, Allure, AD, Bon Appétit, and Pitchfork, among others.

Condé Nast is seeking a highly skilled Senior Director of Data Science to lead and drive data–driven decision making across our portfolio of brands. As a key member of the Technology organization, you will play a pivotal role in shaping the data science strategy and execution. This role will oversee a team of data scientists to develop ML and AI-driven products to optimize and improve user experiences, content personalization, revenue, and drive business growth. The ideal candidate is a strategic thinker with a strong technical background, a passion for media and publishing, and the ability to translate complex data into actionable insights.

As part of our dynamic team, you will collaborate with international colleagues and engage with stakeholders in our US, UK and India headquarters. We emphasize cross–functional collaboration; you will work closely with teams in Product, Analytics, Engineering, Design, and UX, as well as our business partners in Consumer Marketing, Advertising, Licensing, Editorial and Brands.

Location

• Bangalore OR Chennai

Key Responsibilities

Strategic Leadership:

• Define and execute the data science roadmap aligned with Condé Nast’s business objectives.
• Partner with executive leadership to identify opportunities for leveraging data science to drive innovation and competitive advantage across the company.
• Foster a culture of data-driven decision-making across the organization.
• Effectively communicate complex data insights and recommendations to both technical and non-technical audiences, including senior leadership.

Team Management:

• Lead, mentor, and grow a high-performing team of data scientists
• Promote collaboration, innovation, and professional development within the team.
• Manage the data science team's budget effectively, prioritizing investments in key areas.

Cross-Functional Collaboration:

• Work closely with product, editorial, marketing, revenue, and other teams to identify data science opportunities and deliver impactful solutions.
• Collaborate with machine learning and core engineering teams to integrate data science models into production systems.

Business Impact:

• Enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and the different revenue lines.
• Leverage natural language processing (NLP) and LLMs (Large Language Models) to analyze and derive insights from multimodal content (text, image, video, audio), to power recommendations and personalization as well as smarter editorial decisions.
• Build algorithms to measure and improve content performance, audience engagement, and subscription growth.

Data Governance & Innovation:

• Collaborate with machine learning engineering, data engineering and IT teams to ensure the integrity, accuracy, and security of data used for analysis and modeling.
• Champion a culture of experimentation and A/B testing, driving the development of new data products and features.
• Stay at the forefront of data science trends and technologies, exploring new tools and methodologies to enhance Condé Nast’s capabilities.

Qualifications

• Advanced degree (Master or PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
• 15+ years of overall experience, with 8+ years in leading large-scale data science projects and teams.
• Proven track record of delivering impactful AI/ML solutions in a B2C media, publishing, or digital content environment.
• Excellent communication, presentation, and interpersonal skills.
• Exceptional ability in simplifying complex concepts and effectively influencing senior executive stakeholders.
• Expertise in aligning technology initiatives with business goals, with a hands-on approach to execution.
• Deep understanding of ML/AI and statistical modeling.
• Hands-on expertise in predictive modeling, recommendation systems, (Gen) AI, and NLP.
• Experience with cloud computing platforms (AWS, GCP, or Azure) and big data technologies (e.g. Spark).
• Fluent in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.