Senior Data Scientist
Role details
Job location
Tech stack
Job description
RBC Capital Markets LLC seeks a Senior Data Scientist in New York, NY to utilize advanced statistical and machine learning techniques, including regression, Bayesian methods, Monte Carlo simulation, NLP, reinforcement learning, and hypothesis testing, to address specific use cases such as clinical trials and price prediction models. Analyze diverse data sets-structured, unstructured, news, transcripts, social media, and geospatial data-to generate actionable insights for strategic decision-making. The role involves researching and evaluating new data science methodologies, developing predictive models, and enhancing data collection processes to create proprietary insights. Will manipulate large-scale data using advanced engineering techniques, work with data pipelines from various sources, and collaborate with research, technology, and business teams to deliver analytics, visualizations, and innovative applications. Stay up to date with emerging trends in machine learning and data science, contribute to research reports, and develop models that can be deployed in production environments. Additionally, the role includes building and maintaining a repository of models and data assets, translating complex technical solutions into client-facing products, and continuously improving model performance through retraining and troubleshooting. Contribute to advancing organizational data science capabilities and harnessing AI to solve complex business problems. Hybrid work is permitted.
Requirements
Requirements: Master's degree in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field plus 3 years of experience, or, in the alternative, a PhD degree with coursework in the field of statistics. Must have special skills in data science coding, statistical modelling, data science/machine learning algo, natural language processing, and cloud-based technology. Special skills can be gained through either employment or educational experience., Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)
Benefits & conditions
The salary for this job is $139,506 per year per year.This salary does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.
RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
- Drives RBC's high-performance culture;
- Enables collective achievement of our strategic goals; and
- Generates sustainable shareholder returns and above market shareholder value.