数据科学与人工智能总监
Director, Data Science & AI
我们是TMB，一家由社区驱动的娱乐公司，在流媒体电视、社交媒体、网络和印刷领域服务超过2.5亿消费者。我们的品牌组合包括FailArmy、Family Handyman、People Are Awesome、Reader's Digest、Taste of Home、The Healthy和The Pet Collective，这些品牌的内容由我们的粉丝启发并创作。我们的社区激发好奇心，带来欢笑，并激励人们过上精彩、充实、非凡的生活。在trustedmediabrands.com了解我们的品牌、数据驱动的营销解决方案、获奖的授权服务等更多信息。
地点：
我们在纽约、洛杉矶、密尔沃基和古吉拉特设有办公室。该职位将在印度古吉拉特办公，也可以在印度境内远程工作。
关于职位：
TMB正在寻找一位数据科学与人工智能总监，带领团队将数据转化为决策，提供可扩展的智能，推动个性化体验和业务成果，并在合适的地方利用AI和自动化。你理解业务用户的想法，知道真实工作流程中的痛点，并能以非技术用户能理解的方式传达技术解决方案。
你的主要任务是弥合技术可能性与实际价值之间的差距。这是一个需要亲力亲为的领导职位：你将设定技术方向，也会深入数据、参与模型评审，并在关键时刻与团队一起构建。我们需要一位熟悉Google Cloud Platform（BigQuery、Vertex AI及更广泛的GCP生态系统），具备强大数据科学能力，并有毅力将想法从研究阶段推进到生产环境的人。
你是一个学习速度快的人，能够适应不确定性，热衷于解决问题，并且看到自己的工作在组织中被真正采用时充满动力。你将花时间推广更高效的工作方式，帮助技术和非技术的同事将AI融入日常工作中，不是作为干扰，而是作为他们现有工作方式的自然延伸。
日常工作：（即职责）
· 负责组织的数据科学路线图，包括核心统计建模、实验预测、细分和应用AI，以创造真正的商业价值
- 领导、指导并亲自参与一个小的数据科学家团队：编写代码和审查方法论，而不仅仅是制定路线图
- 监督稳健、产品级的系统设计和实施
查看英文原文
About Us:
TMB is the community-driven entertainment company engaging more than 250 million consumers worldwide across streaming TV, social media, web, and print. Our portfolio of brands including FailArmy, Family Handyman, People Are Awesome, Reader's Digest, Taste of Home, The Healthy, and The Pet Collective, is powered by content that's inspired and created by our fans. Together our community sparks curiosity, fuels laughter, and inspires people to live big, full, fantastic lives. Learn more about our brands, our data-driven marketing solutions, our award-winning licensing services, and much more at trustedmediabrands.com.
Location:
We have offices in New York, Los Angeles, Milwaukee, and Gurgaon. This position will be based in the Gurgaon, India and can work remotely within India.
About the role:
TMB is looking for a Director of Data Science & AI to lead the team and efforts to turn data into decisions, deliver scalable intelligence that drives personalized experiences and business outcomes, and lean into AI and Automation where it makes sense. You understand how business users think, what friction looks like in real workflows, and how to communicate technical solutions in ways that land with non-technical users.
Your primary mission is to bridge the gap between what’s technically possible and what’s practically useful. This is a hands-on leadership role: you’ll set the technical direction, but you’ll also be in the data, in the model reviews, and building alongside your team when it counts. We need someone fluent in Google Cloud Platform (BigQuery, Vertex AI, and broader GCP ecosystem), has strong data science capabilities and the grit to take ideas from research to production.
You are a fast learner who is comfortable in ambiguity, energized by solutioning, and motivated by seeing your work drive real adoption across the organization. You'll spend your time championing smarter ways of working and helping both technical and non-technical teammates integrate AI into their everyday work, not as a disruption, but as a natural extension of how they already operate.
Your day-day: (aka Responsibilities)
· Own the data science roadmap for the organization from core statistical modeling and experimentation forecasting, segmentation and applied AI where it adds real business value
- Lead, mentor, and stay hands-on with a small team of data scientists: writing code and reviewing methodology, not just roadmaps
- Oversee the design of robust, production-grade solutions utilizing core cloud systems, vector databases, and agentic workflows
- Champion the adoption and continuous improvement of AI development tools across technical teams
- Scale MLOps/LLMOPs practices, ensuring data observability, governance, model safety, and ethical AI compliance
- Collaborate cross-functionally with Business Intelligence, Data Engineering, Analytics Engineering, Development, and Product teams to drive technical innovation, prioritize initiatives, ship MVPs fast and iterate based on usage data
- Design and run rigorous experiments to validate hypotheses and guide business decisions
- Translate statistical and technical work into business language for executive stakeholders and make the case for where data science investment should go next
- Define success metrics for internal tools and AI initiatives, and track adoption, usage, and business impact over time
- Document tools, workflows, and best practices to scale impact beyond individual engagements
- Stay informed on industry trends, viral content, and emerging platforms to identify new opportunities
You have: (aka Qualifications)
· 7+ years in data science, including leading or managing a technical team
- Strong foundation in core data science
- Deep, hands-on fluency in Google Cloud Platform: BigQuery, Vertex AI, and building/deploying production models in a GCP environment
- Proficiency deploying custom Gemini Enterprise Agents via Agent Engine
- Fluency in AI tools such as Claude, CoPilot and ChatGPT
- Strong Python and SQL skills and experience in applied AI
- A bias for action
About this team:
The Data Science team is a small but mighty group sitting at the center of the organization. We're a centralized team, which means we work across nearly every department: from Marketing and Creative to BI, Engineering, Product, and beyond. If there's a workflow to improve, a tool to build, or a data problem worth solving, chances are we're involved.
Our work is practical by design. We build internal tools and data products that make real work easier, not to chase trends, but because the right solution at the right moment can meaningfully change how an entire team operates. We use AI where it genuinely helps, and we're skeptical of hype for its own sake. That pragmatic instinct is part of what makes us effective.
As a team, we move fast and stay scrappy. We're not a big org with lengthy approval chains. We prototype, iterate, and ship. We collaborate constantly, both within the team and across the business, and we're at our best when we're working alongside stakeholders to understand their problems firsthand rather than solving in a vacuum.
If you're joining us, you're joining a team that values curiosity, initiative, and craft. Our team genuinely believes the most impactful data work happens when technical depth meets real business context.
Our Benefits:
We value our people and offer a collaborative and engaging culture. As a Trusted Media Brands employee, you will enjoy work/life balance, generous time off and comprehensive benefits and programs. Learn more about what life is like working at Trusted Media Brands at
specific benefits
· Comprehensive Time Off policies
- Maternity and Paternity Time off
- Health Insurance & Wellness Benefits including access to OPD consultations*, Gym/Yoga studios, Teleconsultation/Telemedicine*
- Access to Mental Health Reimbursement
- Annual Sport Reimbursement and Home Office Reimbursement
- Office with in-house kitchenette
Trusted Media Brands embraces inclusivity and values our diverse community. We are committed to building a team based on qualifications, merit and business need. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This role is offered by TMB through Jukin Media India Private Limited.
Originally posted on Himalayas