Business Development Respresentative (H / F)

We’re looking for a Data Scientist to join our team and help shape the future of contextual advertising as we continue to expand globally.

Who We Are

At Seedtag our goal is to lead the change in the advertising industry because we believe that effective advertising should not be at odds with users’ privacy.

Every day, our teams develop new services that reach over 200 million users worldwide with fast response times to ensure that we deliver the best user experience. We’re fully committed to the DevOps culture, where we provide the platform that our Software Developers and Data Scientists use to manage over 100 different microservices, pushing dozens of changes to production every day. All of this is built on top of Kubernetes in Google Cloud Platform and Amazon Web Services.

If you are interested in joining one of the fastest-growing scale-ups in Europe and working on massive scalability challenges, this is the place for you.

Responsibilities

1. As a member of our data science team, you will take on the task of developing bidding optimizations through NLP applications, such as large language models, scalable embeddings, and network analysis solutions.
2. You will be responsible for building and improving bidding functionalities which will have a direct impact on our client’s advertising KPIs.
3. You will explore the applicability of LLMs for production, crafting solutions that can handle real-world, large-scale challenges, particularly in areas like contextualization, personalization, and relevance optimization.
4. You will work on end-to-end projects, taking solutions from concept to production, and focusing on creating scalable, efficient, and impactful solutions.
5. Collaborating closely with our cross-functional teams, your work will be aligned with business goals and drive the practical application of your solutions.

What You’ll Need to Succeed

1. You bring 3-5 years of experience in data science and machine learning, with relevant experience in developing ML / NLP applications at scale to address real-world business challenges.
2. You possess strong software engineering skills and a track record of deploying machine learning models in production environments, with proficiency in Python and experience in libraries relevant to NLP and embedding frameworks.
3. You have a strong academic background in fields such as Computer Science, Engineering, Statistics, Mathematics, or similar, with a focus on quantitative analysis and problem-solving.
4. You have hands-on experience with end-to-end project workflows, from data exploration to deployment, proven ability to scale embeddings for high-volume data environments, and are skilled at managing both the technical and business aspects of data projects.
5. You are proactive, entrepreneurial, and adaptable, with a commitment to leveraging data and machine learning to drive impactful, measurable business outcomes in a fast-paced, dynamic environment.

Why Join Seedtag?

1. Growth & Opportunity : A key moment to join with vast career development prospects.
2. Flexibility : At Seedtag, we trust you to balance work and life effortlessly with the option to a 100% remote (Please note that while we operate as a 100% remote company, we can only extend contracts within Europe in countries where we have established legal entities : Spain, Italy, the UK, Belgium, the Netherlands, France, and Germany) or hybrid work setup, depending on what works best.
3. Learning & Development : Online courses in ODILO, and optional English or Spanish group classes.
4. Inclusive Culture : We foster a supportive environment that values personal growth.
5. Fun & Connection : Participate in team activities, company offsites, and more!
6. Gympass : Access to wellness programs and fitness classes.
7. Seedsave Program : Exclusive discounts to help you save for the future.
8. Build your home office with a gross budget of up to 1K€ (external screen, chair, table...)
9. Paid travels to our HQ in Madrid to work p2p with your squad members.

At Seedtag, we’re committed to creating an inclusive environment where everyone can thrive. We welcome diverse perspectives as they fuel our innovation and growth. Please let us know if you require accommodations during the hiring process and we’ll ensure a positive and accessible experience.