Senior Data Scientist

About Us

BySix Engineers the future and drives innovation. We are more than just a standard software engineering company, we believe that true impact comes from combining technical expertise with human values. That's why we reflect that in our approach - technology is not the end goal, but the enabler.

Why Us?

🫸 Multidisciplinary team 📒 Training on demand 💴 Attractive salary and benefits package 📈 Career progression plans 👌 And amazing get together events

What are we looking for?

We are looking for a Senior Data Scientist with:

• Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Data Science, or similar fields.
• Proven experience developing Generative AI solutions, including the use of transformers, embeddings, and knowledge of prompt engineering.
• Strong command of traditional Machine Learning techniques, including supervised and unsupervised learning.
• Fluent in Python and libraries such as numpy, pandas, scikit-learn, matplotlib, and seaborn.
• Experience with PySpark and handling large volumes of data.
• Working knowledge of MLOps: model versioning, experiment tracking (e.g., MLflow), deployment, and monitoring.
• Experience in cloud environments, including:
  • Azure (e.g., Azure Machine Learning, Data Factory);
  • GCP (e.g., Vertex AI, BigQuery);
  • AWS (e.g., SageMaker, S3);

We value

• Experience with open-source LLM models (e.g., LLaMA, Mistral, Falcon);
• Knowledge of frameworks such as LangChain, LangSmith, or LlamaIndex;
• Relevant cloud certifications (e.g., Microsoft Azure AI Engineer Associate, Google Cloud Professional Data Engineer, AWS Certified Machine Learning – Specialty);
• Ability to work autonomously and contribute to the definition of best practices within the team;
• Awareness of ethical issues, algorithmic bias, and data privacy.

What do we expect from you?

• Participate in the design and development of Generative AI solutions, including models with transformers, embeddings, and LLM-based pipelines.
• Build and optimize traditional Machine Learning models for different use cases (classification, regression, clustering, etc.).
• Explore, prepare, and transform data, applying best feature engineering practices to improve model performance.
• Contribute to the automation and reproducibility of data science pipelines with MLOps tools, ensuring continuous monitoring and maintenance in production.
• Communicate analytical results clearly, focusing on applicability and business impact.
• Stay up-to-date with the latest trends and tools in the AI, ML, and cloud ecosystem.

Are you ready?

If you're ready to make a real impact by leveraging cutting-edge technology and fostering human-centric solutions, BySix is the place for you. Together, we'll drive innovation and create lasting business value.

Note: BySix is an equal opportunity employer. All applicants will be considered and analyzed regardless of ethnicity, religion, gender identity, sexual orientation, national origin, age, or disability status.