Data Scientist

You will be responsible for designing new approaches to natural language based interaction with structured data, creating agentic systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for industry verticals. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services. You will be responsible for designing automated data quality assessment, automated data transformation for non-normal distributions, data asset search, and fine-tuning foundation models.

This role requires deep expertise in machine learning, data science and generative AI, including large tabular foundation models (fine-tuning, adaptation, personalization), agents/agent frameworks, and tool orchestration. Preferred qualifications include practical experience with machine learning approaches for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization.

Candidates should have the demonstrated ability to design novel solutions that advance the state of the art in response to business requirements, as evidenced by publications in first-tier conferences or journals and impact on successfully deployed software products that operate at scale.

• Collaborate with a larger science team to develop innovative science solutions in response to business requirements.
• Research and develop innovative approaches leveraging recent advances in generative AI, mathematical optimization, and machine learning for structured data.
• Write high quality code to power experiments and build models. Contribute to writing production model code.
• Collaborate with data engineers to provide guidelines for data collection and annotation.
• Collaborate closely with cross-functional teams to deliver solutions into various applications and products.
Identify new opportunities for scientific exploration and evaluate emerging technologies.

Qualifications and Experience:

• PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field and a minimum of 5 years work experience in Data Science/AI/Generative AI/Machine Learning in an industry setting.
• Publication record in first-tier journals or conferences.
• Hands-on experience in generative AI and model/application evaluation.
• Proficiency in Python, SQL, Spark.
• Strong understanding of machine learning algorithms and architectures
• Excellent problem-solving and analytical skills
• Strong communication abilities.