Are you ready to take on a new challenge and lead the future of applied AI?

At Symanto we are looking for a Data Science Lead to join the team and startshaping the strategic direction of AI innovation, in a company that transforms 15+ years of research into scalable, production-ready solutions used by global clients. If you're driven by impact and eager to turn cutting-edge ideas into reality, this is where you'll make it happen!Are you ready to take on a new challenge and lead the future of applied AI?At Symanto we are looking for a Data Science Lead to join the team and startshaping the strategic direction of AI innovation, in a company that transforms 15+ years of research into scalable, production-ready solutions used by global clients. If you're driven by impact and eager to turn cutting-edge ideas into reality, this is where you'll make it happen!

Your Profile

Education, Required Skills, and Experience

M.Sc. in data science, machine learning, computational methods or similar quantitative field.
6+ years of experience in data science or applied machine learning, with at least 2-3 years in leadership or team lead capacity.
Client facing experience in technically driven project communications, acting as SME for AI and tech aspects of the client engagement
Proven track record in building and deploying data science products, including model development, evaluation, full pipeline orchestration and scaling.
Strong applied knowledge of supervised and unsupervised machine learning, NLP/LLM frameworks including fine tuning, RAG, and AI agent frameworks.
Familiarity with MLOps/LLMOps practices, cloud deployment, scalable data architectures, LLM custom deployments and services.
Proficiency in Python including core data science stack libraries and deep learning frameworks like pytorch, tensorflow, peft or others
Working knowledge of API/web service development
Working knowledge of SQL/NoSQL/Vector databases.
Excellent organizational, planning, and communication skills; able to manage multiple priorities.
Fluency in English (written and spoken).

Preferred Skills and Experience

PhD in quantitative field
Fluency in German or Arabic
Experience in developing AI solutions for different business verticals
Experience in building agentic solution platforms
Experience building and integrating data science teams
Experience in consumer psychology and behavioral drivers
Experience with cloud platforms (Azure, AWS, or GCP), containerization (Docker, Kubernetes), and distributed computing frameworks e.g. PySpark.

Responsibilities and Duties

Translate the department's strategic vision into actionable data science projects, ensuring alignment with business needs.
Oversee and support with the design and implementation of scalable AI and data science solutions, from prototypes to production-ready systems.
Manage project prioritization, resources, and timelines to deliver high-quality outcomes.
Provide strategical oversight and architectural guidance for data science solutions, agentic AI platforms, AI/ML models and data pipelines ensuring alignment with best practices and business objectives.
Align with the engineering teams to facilitate smooth transitions of data science and AI pipelines into production ready systems
Ensure robust monitoring, testing, and benchmarking processes are in place to maintain model quality and pipeline performance.
Foster a culture of innovation, collaboration, and continuous improvement within the team.
Mentor and support the professional growth of data scientists, ML engineers, and analysts in the department.
Serve as the key bridge between leadership, clients, and technical teams, clearly communicating technical concepts to non-technical stakeholders.
Coordinate with other departments to integrate data science initiatives into broader organizational workflows.
Ensure that security policies, procedures, and standards within their area of responsibility are followed correctly and the ISO certification and ISMS is supported within the scope of the role

What we offer

We really develop multi-agent systems for production(not just n8n-like automations)
Work with people that have beenat thecutting edgeof research andputtingAI products for clientsfor more than 15 years, not just in the hype ofchatGPTera
Bonus program
Training budget
Chance to develop and grow with the company
Hybrid work model
20 days of workation
Flexible working hours
28 days of holidays
Out of office events
International and diverse team

Symanto is an equal-opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership, or disability status.

We make recruiting decisions based on business needs, job requirements, your experience, and skills. We value your willingness and enthusiasm to make things happen.

#J-18808-Ljbffr

Symanto Research