Senior Data Scientist - Remote

Overview

Assent is the leading solution for supply chain sustainability tailored for the world’s top-tier, sustainability-driven manufacturers. Hidden risks riddle supply chains, many of which weren't built with sustainability in mind. That's where we step in. With insights from experts, Assent is the tool manufacturers trust for comprehensive sustainability.

In Short

• Lead the research, development, and fine-tuning of state-of-the-art LLMs and NLP models for real-world applications.
• Perform in-depth data analysis to extract actionable insights, improve model performance, and inform AI strategy.
• Design, implement, and evaluate LLM based systems to ensure model performance, efficiency, and scalability.
• Mentor and coach junior data scientists, fostering best practices in NLP, deep learning, and MLOps.
• Deploy and monitor models in production, ensuring robust performance, fairness, and explainability in AI applications.
• Stay ahead of advancements in NLP, generative AI, and ethical AI practices, incorporating them into our solutions.
• Collaborate with engineering and product teams to integrate AI-driven features into SaaS products.
• Manage multiple concurrent projects, priorities and timelines.

Requirements

• PhD (preferred) or Masters in Machine Learning, AI, NLP, or a related field.
• Industry experience (2+ for PhD, 5+ for Masters) in building and deploying NLP/LLM solutions at scale.
• Proven ability to analyze large datasets, extract meaningful insights, and drive data-informed decision-making.
• Strong expertise in preparing data for fine-tuning and optimizing LLMs.
• Solid understanding of data engineering concepts, including data pipelines and feature engineering.
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and NLP libraries (e.g., Hugging Face Transformers, spaCy).
• Solid working knowledge of AWS systems and services.
• Familiar with MLOps best practices, including model versioning, monitoring, and CI/CD pipelines.
• Excellent organizational skills and ability to manage multiple priorities and timelines.

Benefits

• Comprehensive benefits packages.
• Competitive base salary and corporate bonus program.
• Flexible work options and volunteer days.
• Professional development days available from day one.
• Commitment to diversity, equity, and inclusion in the workplace.