Senior Data Scientist

Summary

The Senior Data Scientist will design, develop, and deploy advanced analytics, Generative AI, and LLM solutions to convert business challenges into valuable data products, directly impacting operations and efficiency.

Responsibilities

• Lead end-to-end AI and data science projects.
• Design, prototype, and industrialize Generative AI and LLM solutions.
• Develop robust LLM pipelines and predictive models.
• Apply machine learning and AI techniques to various use cases.
• Collaborate with data engineers on scalable data pipeline definitions.
• Ensure production readiness of AI solutions and monitor their performance.
• Translate business needs into analytical approaches and recommendations.
• Mentor junior team members and support knowledge transfer.
• Communicate outcomes effectively to stakeholders with clear storytelling.

Must Haves

• Master’s or Engineering degree in Computer Science, Data Science, or a related field; PhD is a plus.
• At least 5 years of experience in a data-focused role, such as Data Scientist or Machine Learning Engineer.
• Strong proficiency in Python, with knowledge of PySpark/Spark and SQL.
• Experience with machine learning algorithms and deep learning techniques.
• Hands-on experience with Generative AI and LLM development.
• Experience with data quality management and scalable data pipelines.
• Familiarity with cloud and enterprise data platforms; Palantir Foundry experience is advantageous.
• Strong problem-solving skills and ability to manage priorities.
• Exceptional communication and presentation skills.

Nice to Haves

• Experience delivering AI solutions for automotive or manufacturing use cases.
• Exposure to cybersecurity and responsible AI practices.
• Ability to define measurable business value and operational impact from AI solutions.

Working Environment

• International collaboration with cross-functional teams.

Role Focus

• Digital transformation through AI and advanced analytics.