Data Scientist

Top 5 Technical Skills:

1. Databricks AI tools
2. Snowflake AI tools (new to market)
3. LLMs
4. LangGraph and LangFlow
5. Agentic AI is a PLUS

Top Soft Skills:

1. Ability to communicate with users
2. Collaboration

Job Description:

Key Responsibilities:

• Machine Learning Development:?Build and optimize machine learning models, including ARIMA, regression, classification models, LDA, topic modeling, and other statistical techniques to support internal use cases.
• Deep Learning Expertise:?Develop and fine-tune deep learning models, including large language models (LLMs) and small language models (SLMs), to address complex business challenges.
• AI/ML Operations:?Utilize Snowflake Cortex AI features (or Databricks ML Ops tools such as MLFlow and workflows) to deploy and manage machine learning pipelines.
• Agentic AI Solutions:?Implement agentic AI frameworks using open-source packages like LangGraph and LangFlow to enable intelligent automation.
• CI/CD Integration:?Collaborate with development teams to integrate machine learning workflows into CI/CD pipelines using GitHub Copilot and other tools.
• Business Analysis:?Leverage prior business analysis experience to understand stakeholder requirements, translate them into technical solutions, and ensure alignment with organizational goals.

Qualifications:

• Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3-5 years of experience in machine learning, data science, or AI development.
• Proficiency in Python, R, or other programming languages commonly used in machine learning.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and deep learning libraries.
• Familiarity with Snowflake Cortex AI features or Databricks ML Ops tools (MLFlow, workflows).
• Knowledge of agentic AI frameworks and open-source packages like LangGraph and LangFlow.
• Experience with CI/CD pipelines and GitHub Copilot for code development and deployment.
• Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Preferred Qualifications:

• Previous experience in business analysis or working directly with stakeholders to define requirements.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their AI/ML services.
• Experience with Snowflake s latest AI features is a plus.

Role on the Team:

Design, develop, and support internal AI/ML/IA use cases while contributing to the build-out of our Internal AI program. You will work on diverse projects ranging from predictive modeling to deploying advanced AI solutions, ensuring scalability and operational excellence.