Applied AI Data Scientist: Predictive ML & Insights

RBC Capital Markets, LLC; Minneapolis (MN); On-site; USD 80,000 - 140,000; Full time

Benefits offered by this job

401(k) retirement plan

Health, dental, vision insurance

Paid time off

Job summary

RBC Capital Markets, LLC in Minneapolis seeks a Data Scientist to solve problems and build ML applications within the US Wealth Management Applied AI team. You will design, implement, and monitor models across causal inference, forecasting, and predictive analytics.

Collaborate with business partners, transform data, deploy models at scale, and communicate insights to executives. The role emphasizes responsible AI and governance while staying current with research.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or Physics.
• 2-3 years of experience in data solutions and applying data techniques.
• 3+ years of experience in machine learning, predictive analytics, and statistical modeling.

Responsibilities

• Collaborate with business partners to understand objectives and provide actionable data-driven solutions.
• Prepare, analyze, and transform data from structured and unstructured sources.
• Develop, implement, and deploy statistical and ML models at scale.
• Build dashboards and communicate insights to stakeholders.
• Monitor production models for drift and performance.

Skills

sklearn

tensorflow

pytorch

pandas

pySpark

scala Spark

SQL

Hive

Python

Education

Master's or PhD in Computer Science, Statistics, Mathematics, or Physics

Tools

Jupyter Notebooks

IntelliJ

Visual Studio Code

Tableau

Looker

Sagemaker

GitHub

JIRA

Job description

RBC Capital Markets, LLC in Minneapolis seeks a Data Scientist to solve problems and build ML applications within the US Wealth Management Applied AI team. You will design, implement, and monitor models across causal inference, forecasting, and predictive analytics.

Collaborate with business partners, transform data, deploy models at scale, and communicate insights to executives. The role emphasizes responsible AI and governance while staying current with research.