Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative.

Create and enhance projects in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.

Be part of the team that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.

Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity.

About the role

We are looking for a Senior Data Scientist with strong technical expertise to design, develop, and deploy advanced AI and machine-learning solutions. In this role, you will be responsible for building high-quality models and data-driven solutions, contributing to technical architecture decisions, and ensuring reliable production deployments aligned with best MLOps practices. You will work closely with cross-functional teams to translate business problems into scalable and impactful AI solutions.

As a part of your job, you will:

• Design, develop, and implement advanced AI and machine-learning models for real-world business problems.

• Define modeling strategies, experimentation approaches, and analytical frameworks for complex AI/ML initiatives.

• Leverage data and domain knowledge to deliver impactful, data-driven solutions.

• Collaborate with cross-functional stakeholders to clarify problem statements, gather requirements, and translate them into technical solutions.

• Develop optimization models, experimentation frameworks, forecasting algorithms, and capacity-planning models.

• Ensure robust deployment, monitoring, and lifecycle management of ML solutions following industry-standard MLOps practices.

• Lead and mentor Data Science teams, ensuring technical excellence, timely delivery, and alignment with project goals. 

• Contribute to code quality, model validation, and architectural best practices.

• Communicate insights, results, and technical decisions to technical and non-technical stakeholders.

What are we looking for?

• Degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.

• Strong expertise in Python and experience with PySpark/Spark MLlib.

• Experience with Generative AI, LangChain, RAG (Retrieval Augmented Generation), LLM production deployments, and Agentic AI architectures.

• Solid understanding of NLP, text analytics, and unstructured data processing.

• Deep knowledge of ML architectures and MLOps-oriented lifecycles (CI/CD for ML, model versioning, monitoring, retraining pipelines).

• Hands-on experience with NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch.

• 5+ years of professional experience in Data Science

• Proven track record of leading data science projects end-to-end with MLOps best practices.

• Computer Vision experience, in image pre-processing and analysis.

Nice to have:

• 2+ years of experience with SQL.

• Experience with Java, Scala, or Spark in production environments.

• Knowledge of distributed/cloud environments: AWS, Azure, GCP, Cloudera.

• Understanding of Data Governance frameworks.

Personal traits

• Ability to adapt to different contexts, teams, and Clients;

• Teamwork skills but also a sense of autonomy;

• Motivation for international projects and ok if travel is included;

• Willingness to collaborate with other players;

• Strong communication skills.
  

At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.

Come join the Team!