Data Scientist (m/f/x/d)

Are you passionate about data science and language technologies like NLP, NLU and genAI? Do you like to develop tech products out of exciting but challenging projects? Love experimenting with a goal to generate clear insights in production setting? Striving to enable transfer of state-of-the-art research into business applications? 

Then Symanto is the place for you! We are currently looking for a Data Scientist (m/f/x/d) to join us in our office in Valencia or Nuremberg to work in an interdisciplinary, multinational team developing and deploying cutting-edge tech to answer a variety of strategic client questions and qualitatively enhance business operations. 

Your job will be 

• Design and implement scalable end-to-end data science and data analytics pipelines 

• Derive analytical insights from a variety of unstructured (formal text, informal text) as well as structured (numerical, categorial, sequential) consumer derived and market focused data 

• Design evaluation and adaptation strategies to overcome domain or content biases of the applied AI models 

• Develop monitoring, testing and benchmarking approaches to ensure consistent quality of the models and pipeline outputs 

• Create, extend, and maintain deployed data analytics applications 

• Support your colleagues in data science, NLP and data engineering related matters 

Education, Required Skills and Experience: 

• Master’s degree in data science, statistics, mathematics, data analytics, big data, or similar 

• 4+ years of experience in a data science related role as a researcher, ml engineer, or data scientist 

• Advanced knowledge of the following data analytics technologies and concepts: supervised and unsupervised learning model evaluation; data science packages (pandas, numpy, scikit-learn, spacy, langchain, transformers, etc.) 

• Knowledge of the following software engineering related technologies: Git; Python; API and web service development (e.g. FastAPI); SQL databases 

• Basic knowledge of the following technologies and concepts: MLOps, LLMOps, ssh and linux terminal; interactive user interfaces (dashboards and webapps); data and system architectures; agile methodologies 

• Fluency in English (written and spoken) 

• Respectfulness; teamwork skills; organizational and planning skills; communication skills; creativity; problem solving; autonomy

Preferred Skills and Experience 

• PhD in data science, machine learning, computational methods or similar 

• 6+ years of experience in a data science related role as a researcher, data scientist, or ML engineer, ideally in a client-focused business environment 

• Experience with: DL finetuning frameworks including adapters; semi supervised learning, few shot learning, weak and distant supervision;  

• Building and deploying robust data pipelines; DL model deployment frameworks such as Nvidia Triton 

• Experience with vector stores and semantic search engines 

• Knowledge of Microsoft Azure DevOps Services or equivalent cloud tech; application containers and their orchestration (e.g. docker or Kubernetes); cloud computing; developing APIs and web services based on cloud solutions; parallelization frameworks such as MapReduce and PySpark 

What we offer 

• Work on Innovative projects and solutions 

• Possibility to publish in blogs, fora, and reputable research conferences and journals 

• Training in innovative technologies and domains 

• Flexible working time 

• A company laptop plus access to GPU servers and cloud infrastructure to conduct your research and development 

• Home Office possibility 

• Great people to work with in an international environment 

• Chance to develop and grow with the company 

• Out of office events 

Are you interested? 

We are looking forward to receiving your application (English CV & motivation letter). 

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. 

If you are currently living in Spain or Germany, or willing to relocate we would still love to consider your application.