Our Story So Far:
Since our founding in 2019, Pigment has become one of the fastest-growing SaaS companies in the world today. Our product, a highly efficient Enterprise Performance Management (EPM) platform is helping companies achieve their financial goals by quickly responding to dynamic factors in their respective markets including Tech, Retail, CPG & Financial Services.
In less than 5 years, Pigment has grown to over 400 employees across offices in New York, Toronto, London & Paris and attracted a total of $393M in investment from some of the top Venture Capital firms globally.
We serve companies including Unilever, Deliveroo, Gong and Brex to name a few!
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
- PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Hands-on experience with deep learning technologies such as CNNs, RNNs, LSTMs, and Transformers, with a clear understanding of their practical applications.
- Prior experience in training and fine-tuning Large Language Models (LLMs) with demonstrated success in achieving reliable model performance.
- Experience with production deployment of machine learning models in a business context, preferably with a focus on automation and efficiency.
- Strong proficiency in Python
- Excellent problem-solving skills with the capability to adapt to a dynamic, fast-paced environment.
- Strong communication skills, capable of effectively conveying complex technical details to both technical and non-technical stakeholders, fostering collaboration and understanding across the company.
- Demonstrated ability to lead projects from conception through implementation and evaluation, including effective team collaboration and project management.
What you will get
- Competitive salary
- Equity
- The best health insurance with Alan Blue entirely free for you and your family 💙
- Trust and flexible working hours
- Brand new offices in the heart of Paris, London, New York and, Toronto
- Remote-friendly environment
Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.
