Hiring: Senior Data Scientist Company: Nasdaq Location: Boston, MA Job Posted Time: 2026-09-10 12:26:26 Employment Type: Hybrid Target Skills & Keywords : Accessibility, CPT, Deep Learning, LLM, LangChain, LlamaIndex, Machine Learning, Python, RAG, SQL, Transformers About the job Experience: •1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role •3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role Required Skills: •Design, research & architect AI/ML solutions across the enterprise. •Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators. •Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making. •Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives. •1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role •Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field. •Good understanding of the fundamentals of Statistics & Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization). •Fundamentals of Deep Learning (CNNs, RNNs, transformers and other types of Deep Neural Networks) Qualifications: •Work experience in a corporate environment or finance/fintech industry •Industry experience with Deep Learning models and methods (Deep Learning Life cycle – from Problem Definition to Model Evaluation and Monitoring) •Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) •This position will be located in Boston, and offers the opportunity for a hybrid work environment (at least 3 days a week in office, subject to change), providing flexibility and accessibility for qualified candidates. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!