Lead Data Scientist

🕒 Ontem

🗽 New York – Remoto

🗽 New York – Remote

💵 $166.000 - $214.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Smarsh

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2001

💸 Finanças

🏢 Corporativo

☁️ SaaS

💰 Private Equity Round em 2016-01

Finance • Enterprise • SaaS

A Smarsh é a líder global em dados e inteligência de comunicações, focada em conformidade com comunicações digitais e gestão de riscos em indústrias regulamentadas. Com mais de duas décadas de experiência, a Smarsh oferece soluções habilitadas por IA para desbloquear insights de negócios a partir de dados de comunicação em grande escala. Confiada por 95% das principais empresas financeiras e gerenciando bilhões de mensagens mensalmente, a Smarsh oferece serviços como captura de chat, arquivamento de e-mails e vigilância de riscos digitais. Suas plataformas são projetadas para atender às necessidades diversificadas e em evolução dos serviços financeiros, governo, saúde e outras indústrias, aumentando a produtividade e garantindo conformidade com os desafios de governança da comunicação digital.

Descrição

• Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms. • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication). • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities • Data annotation and quality review • Exploratory data analysis and model fail state analysis • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards. • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes • Provide guidance to junior team members on model development and EDA • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures • Continued self-led personal development

🎯 Requisitos

• Strong understanding of **financial markets, compliance, surveillance, supervision, or regulatory technology** • 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 • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…) • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming) • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…) • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.) • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes • Familiarity with Deep Learning techniques for NLP. • Familiarity with LLMs - using ollama & Langchain • Excellent verbal and written skills • Proven collaborator, thriving on teamwork • **Preferred Qualifications** • 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