The Role

As a Senior Data Scientist at Pigment, you will spearhead the applied research in Generative AI and NLP to enhance user interactions and decision-making processes on our platform. Your expertise will drive the development of innovative features that simplify business planning and make strategic insights accessible to a broader audience.

Key Responsibilities

Model development and training: Design and train advanced machine learning models to support multiple projects related to business planning and analysis.

Benchmarking and model evaluation: Rigorously test and benchmark new and existing models to ensure they meet our high standards of performance and reliability.

Improving existing models’ performance: Monitor and optimize the performance of AI models to maintain the highest standards of accuracy and efficiency. Implement techniques to reduce inaccuracies and enhance trustworthiness. Develop metrics and procedures for ongoing quality assurance and model validation to ensure optimal functionality and relevance in business applications. Continuously adapt models based on user feedback and changing business environments.

Prompt engineering and fine-tuning: Develop and refine prompts for generative models to improve accuracy and relevance of generated content.

Data integration: Work with complex tabular and unstructured data to enhance model inputs and outputs.

Ideate on cross-domain applications: Explore and implement cross-domain NLP applications to enrich scenario planning and predictive analytics.

Exploratory research on transformers: Investigate and identify new opportunities for training and applying Transformers within Pigment AI. Lead research initiatives to assess potential use cases across different aspects of business planning, such as risk analysis, time series forecasting, and real-time decision support systems.

Requirements

What you will get