Senior Data Scientist
Role details
Job location
Tech stack
Job description
We are seeking a Senior Data Scientist who is deeply technical, hands-on, and passionate about building high-quality machine learning models and production-ready solutions, to lead the delivery of high-impact AI/ML initiatives across the enterprise. You will work at the intersection of data science, applied AI, and software engineering, delivering solutions that are both scientifically rigorous and production-ready., * Devising and applying state-of-the-art machine learning, deep learning, and modern AI techniques (including Generative AI, LLMs and Multimodal AI) to solve business and scientific problems.
- Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps. Build production-grade machine learning solutions, not just prototypes.
- Own the development of end-to-end AI/ML projects, including deployment into production environments, and monitoring for continuous improvement.
- Design, develop, and maintain software components of internal data science platforms, enabling chemists, engineers, and business users to leverage AI/ML models through intuitive tools, APIs, and applications.
- Work with modern data ecosystems (cloud platforms, distributed data systems, and real-time pipelines).
- Communicate findings, assumptions, and model performance to both technical and non-technical stakeholders.
- Work with global teams to translate innovative ideas into deployable digital products and services with quantifiable business impact.
- Stay current on emerging technologies in AI/ML, software engineering, and applied data science.
Requirements
- Ph.D. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field.
- 5+ years of experience delivering AI/ML solutions in production environments
- Strong expertise in:
- Machine learning and deep learning
- Statistical modeling and optimization
- Python and modern ML frameworks
- Proven experience building scalable, production-grade ML systems
- Experience working in Agile or product-oriented teams
- Preferred qualifications:
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Strong software engineering skills: o System design and architecture o API development and microservices o Code quality, testing, and maintainability
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Experience in: o Generative AI (LLMs, prompt engineering, retrieval-augmented generation) o Cloud-native AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI) o Distributed data systems (Spark, Databricks)
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Experience leading or mentoring teams and driving cross-functional initiatives
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