remote
Director, Data Scientist - BNY Mellon
Data Scientist
Lead a high‑impact data science team to design and deploy AI‑driven solutions for a global financial services firm, leveraging Python, machine learning, deep learning, Spark, and AWS cloud services.
About the role
Key Responsibilities
- Define and execute the data science strategy, aligning AI initiatives with business objectives and regulatory requirements.
- Lead a multidisciplinary team of data scientists, engineers, and analysts to develop, prototype, and productionize predictive models and advanced analytics.
- Architect scalable machine‑learning pipelines on AWS, utilizing services such as SageMaker, EMR, and Lambda.
- Drive innovation by researching emerging techniques in deep learning, natural language processing, and reinforcement learning, and translating them into tangible products.
- Collaborate with stakeholders across trading, risk, and client‑facing groups to translate complex data insights into actionable recommendations.
Requirements
- Advanced degree (Ph.D. or Master’s) in Computer Science, Statistics, Applied Mathematics, or a related field.
- 10+ years of hands‑on experience in data science, with a proven track record of delivering production‑grade machine‑learning solutions in the financial services industry.
- Expertise in Python, Spark, and cloud platforms (AWS), including model deployment, monitoring, and scaling.
- Strong knowledge of statistical modeling, deep learning frameworks (TensorFlow/PyTorch), and data engineering best practices.
- Excellent leadership, communication, and stakeholder‑management skills, with the ability to influence senior executives.
Skills
pythonmachine learningdeep learningaws