Job opportunity: lead data scientist
bolster your expertise as a senior data scientist by joining our company.
* be part of a dynamic team and build solutions at scale.
* pursue a leadership role where you can mentor junior scientists, drive complex problem-solving, and contribute to high-impact projects.
about the role:
the team:
* you will lead the development of genai-driven products and capabilities for natural language understanding, data extraction, information retrieval, and data sourcing solutions.
* define ai strategy, guide others, and drive production-ready ai products and pipelines while showcasing best practices in a collaborative environment.
key responsibilities:
* develop an ai roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems.
* achieve large-scale ml and genai-powered product deployment and pipeline architecture.
* oversee all stages of the data science project lifecycle, including opportunity identification, scoping, partnership with business leaders and domain experts, and effective communication of results to stakeholders.
* lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ml and genai approaches.
* establish and enforce coding standards, perform code reviews, and optimize data science workflows.
* drive deployment, monitoring, and scaling strategies for models in production (including both ml and genai services).
* mentor and guide junior data scientists; foster a culture of continuous learning and innovation.
technical requirements:
* hands-on experience with large language models (e.g., openai, anthropic, llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval.
* expert proficiency in python (numpy, pandas, spacy, scikit-learn, pytorch/tf 2, hugging face transformers).
* deep understanding of ml & deep learning models, including architectures for nlp (e.g., transformers), gnns, and multimodal systems.
* strong grasp of statistics, probability, and the mathematics underpinning modern ai.
* ability to surf and synthesize current ai/ml research, with a track record of applying new methods in production.
* proven experience on at least one end-to-end genai or advanced nlp project: custom ner, table extraction via llms, q&a systems, summarization pipelines, ocr integrations, or gnn solutions.
* familiarity with orchestration and deployment tools: airflow, redis, flask/django/fastapi, sql, r-shiny/dash/streamlit.
* openness to evaluate and adopt emerging technologies and programming languages as needed.
* master's or ph.d. in computer science, statistics, mathematics, or related field (minimum bachelor's).
* 6+ years of relevant experience in data science/ai, with at least 2 years in a leadership or technical lead role.
* prior experience in the economics/financial industry, especially with market-intelligence or risk analytics products.
* public contributions or demos on github, kaggle, stackoverflow, technical blogs, or publications.