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Tech Stack
Tools & technologiesAWSAzureCloudDockerKerasKubernetesMicroservicesNumpyPandasPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Smarsh Website LinkedIn All Job Openings 1001 - 5000 employees Founded 2001 💸 Finance 🏢 Enterprise ☁️ SaaS 💰 Private Equity Round on 2016-01 Finance
- Enterprise
- SaaS Smarsh is the global leader in communications data and intelligence, focusing on digital communications compliance and risk management in regulated industries. With over two decades of experience, Smarsh delivers AI-enabled solutions to unlock business insights from communications data at scale. Trusted by 95% of top financial firms and managing billions of messages monthly, Smarsh offers services like chat capture, email archiving, and digital risk surveillance. Their platforms are designed to meet the diverse and evolving needs of financial services, government, healthcare, and other industries, enhancing productivity and ensuring compliance with digital communication governance challenges. Lead Data Scientist 🔥 17 minutes ago 🗽 New York – Remote 💵 $166k - $214k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- 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 🎯 Requirements
- 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 Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs ERP Functional Data Lead Analyst 🔥 23 minutes ago RTX 10,000+ employees 🚀 Aerospace Website LinkedIn All Job Openings Functional Data Lead Analyst coordinating ERP implementation activities for aerospace and defense company. Driving conversion activities and managing team collaboration in a complex project environment. 🇺🇸 United States – Remote 💵 $132.4k - $251.6k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist Senior Data Scientist 🔥 1 hour ago Flagstar Bank 5001 - 10000 🏦 Banking 💸 Finance 🏠 Real Estate Website LinkedIn All Job Openings Data Scientist Sr performing analytics in both structured and unstructured data. Collaborating with stakeholders to develop insights and deliver reports for banking businesses. 🇺🇸 United States – Remote 💵 $85.2k - $140.4k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Senior Data Manager 🔥 5 hours ago Humana 10,000+ employees ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Senior Data Manager acquiring and analyzing data for business insights at Humana. Supporting the Service Operations team in improving customer experience through data management. 🇺🇸 United States – Remote 💵 $97.9k - $133.5k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Senior Data Scientist – SEO, AI 🔥 21 hours ago Docebo 501 - 1000 ☁️ SaaS 📚 Education 👥 HR Tech Website LinkedIn All Job Openings Senior Data Scientist driving SEO strategy at Docebo, an AI-powered learning platform. Focus on technical SEO and data-driven content insights to enhance learning experiences. 🇺🇸 United States – Remote 💰 $101.7M Post-IPO Equity - Docebo on 2021-09 ⏰ Full Time 🟠 Senior 📊 Data Scientist Senior Data Science Engineer/Specialist 🔥 23 hours ago Concurrent Technologies Corporation 201 - 500 🚀 Aerospace 🔒 Cybersecurity ⚡ Energy Website LinkedIn All Job Openings Senior Data Science Engineer/Specialist at CTC leading advanced data science projects for Department of Defense clients. Utilizing machine learning and statistical methods to drive innovative solutions. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
machine learningdeep learningnatural language processingdata analysisstatistical methodsdata scienceexploratory data analysismodel governancedata annotationmodel deployment
Soft Skills
communicationcollaborationteamworkguidanceleadershipself-led developmentproblem-solvingadaptabilitymentorshipclient engagement
Certifications
Master’s degreeDoctor of Philosophy degree
