Lead Data Science Specialist ( Immediate Joiner )

Why CDM Smith?

• Join a team of innovators dedicated to driving data science and AI to new heights.
• Opportunity to work on impactful projects that shape the future of CDM Smith and the industries we serve.
• Competitive compensation and benefits package, with opportunities for professional development and growth.

About CDM Smith:

CDM Smith is dedicated to innovating and driving digital transformation through advanced AI and data science solutions. Our goal is to develop state-of-the-art, industry-leading AI tools that enhance and transform business processes. As a member of our data science team, you will work alongside skilled professionals who are committed to pioneering transformative technologies.

Position Summary:

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.

Role & 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:

• Proficient in Python and SQL for data manipulation, model building, and analysis.
• Extensive experience with large language models (LLMs) and RAG architecture.
• Advanced skills in machine learning algorithms, deep learning, and NLP.
• Familiarity with Azure Blob storage and optimization techniques for high-volume document processing.
• Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar.
• Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges.
• Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively.

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:

• Ability to establish and build relationships across departments.
• Strong organizational skills and attention to detail.
• Ability to adapt quickly in a dynamic, fast-paced environment.