Lead Data Scientist

Join Smarsh as a Lead Data Scientist specializing in NLP and Financial Compliance. In this role, you will develop cutting-edge natural language processing and large language model solutions for compliance and surveillance systems. You will work on complex problems at the intersection of NLP, communications intelligence, financial supervision, and regulatory compliance. You will also mentor junior data scientists and collaborate with various teams across the organization.

• Spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions for compliance and surveillance systems.
• Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases.
• Mentor Associate Data Scientists in analyzing complex data, generating insights, and creating solutions across various tools and platforms.
• Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…)
• Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
• Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
• Proven collaborator, thriving on teamwork
• Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
• Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
• Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
• Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…)
• Familiarity with LLMs - using ollama & Langchain
• Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
• Excellent verbal and written skills
• Familiarity with Deep Learning techniques for NLP
• Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
• Familiarity with cloud computing platforms (AWS, GCS, Azure)
• Experience with automated supervision/surveillance/compliance tools