Lead Data Science Specialist ( Immediate Joiners *** )

We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services.

Key Responsibilities:

• AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, that align with CDM Smiths business goals.
• Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance.
• Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data.
• Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders.
• Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions.
• Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage.
• Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems.
• Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions.
• Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning.

Required Qualifications:

• Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field.
• Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity.

Technical Skills:

o Proficient in Python and SQL for data manipulation, model building, and analysis.

o Extensive experience with large language models (LLMs) and RAG architecture.

o Advanced skills in machine learning algorithms, deep learning, and NLP.

o Familiarity with Azure Blob storage and optimization techniques for high-volume document processing.

o Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar.

Problem-Solving Skills

Communication Skills:

Preferred Qualifications:

Additional Skills:

Experience with Azure Custom Vision and related AI tools.

Exposure to prompt engineering and document content optimization techniques.

Familiarity with data architecture and optimization practices for AI scalability.

Soft Skills:

o Ability to establish and build relationships across departments.

o Strong organizational skills and attention to detail.

o Ability to adapt quickly in a dynamic, fast-paced environment.