We’re looking for a Data Science Manager (d/f/m) to lead our central Data Science team!
Our mission is to deliver data-driven insights and machine learning (ML), including state-of-the-art Generative AI (GenAI) solutions, that enhance experiences and drive value across our platforms. We work collaboratively with product teams, leveraging cutting-edge technologies to tackle a wide range of challenges and opportunities.
The role:
As a Data Science Manager, you will split your time between managing and developing a high-performing Data Science team and driving impactful projects as an individual contributor. You’ll play a key role in shaping our strategy, ensuring project delivery, and enabling the growth and success of both your team and our products.
Managerial Responsibilities (50%):
* Team Leadership: Build, mentor, and lead a multidisciplinary data science team, encouraging upskilling and experimentation in GenAI, cloud computing (GCP, AWS), and modern Data Science tools.
* Strategic Direction: Collaborate with product and engineering leadership to define the data science strategy, with a focus on integrating GenAI technologies (e.g., Gemini, AWS Bedrock, LLMs) and cloud-native solutions into our business.
* Project Oversight: Oversee pipelines, prioritize GenAI and cloud-based initiatives, and ensure effective resource allocation for AI-driven innovation on GCP and AWS infrastructure.
* Stakeholder Management: Educate and guide stakeholders on innovative solutions using GCP, AWS, Gemini, and Bedrock.
* Performance Management: Foster development through coaching in cloud platforms and state-of-the-art Generative AI.
Individual Contributor Responsibilities (50%):
* Technical Leadership: Lead by example in developing and deploying advanced machine learning and GenAI models (e.g., LLMs, Gemini), using cloud-native tools (GCP Vertex AI, AWS Sagemaker/Bedrock) and scalable databases like BigQuery.
* GenAI Implementation: Drive hands-on prototyping and productionization of GenAI use cases, leveraging technologies such as Gemini (GCP) and Bedrock (AWS) for tasks including personalized recommendations, content generation, and automation workflows.
* Project Delivery: Own end-to-end delivery of data science and GenAI projects using tools like BigQuery, Vertex AI, Gemini, and cloud-based ML pipelines.
* Innovation: Stay on top of developments in GenAI, transformers, and cloud offerings, integrating technologies like BigQuery for big data analysis and Gemini/Bedrock for GenAI applications.
Your profile:
* MSc or Ph.D. in a quantitative field (statistics, computer science, economics, or related).
* 5+ years of professional experience in Data Science, with hands-on technical roles and 1-2 years in a leadership or mentorship capacity.
* Proven track record delivering ML/GenAI solutions into production, preferably in marketplaces or tech industries.
* Advanced experience with Python and ML frameworks
* Practical experience with GenAI technologies:
o Large Language Models (e.g., Gemini, GPT, PaLM, Llama, and open-source alternatives)
o Amazon Bedrock for foundation model deployment
o Integration with GCP Vertex AI and BigQuery, AWS Sagemaker and Bedrock
* Strong background in traditional Machine Learning, NLP techniques, and MLOps best practices for production deployment in cloud environments.
* Proficient with SQL and NoSQL databases, with emphasis on BigQuery for scalable analytics.
* Experience managing and coaching technical teams.
* Track record collaborating with cross-functional product development teams.
* Passion for agile (Kanban/Scrum) software development, product discovery, and continuous deployment.
* Excellent English communication skills, both written and verbal.
Selected Technologies & Tools:
* Cloud Platforms: GCP (Vertex AI, BigQuery, Gemini), AWS (Sagemaker, Bedrock)
* Programming: Python, R, SQL, NoSQL
* ML Frameworks: TensorFlow, PyTorch, HuggingFace, LangChain
* GenAI: LLMs (Gemini, GPT, Llama), diffusion/creative models, prompt engineering
* MLOps: ML pipelines, cloud-based deployment