Principal Data Scientist

The Principal Data Scientist will be responsible for developing and deploying advanced data science solutions to drive business impact at Fidelity. The ideal candidate will have a strong background in machine learning, data engineering, and quantitative analysis to lead cross-functional teams in solving complex business problems. Responsibilities include: Developing and deploying state-of-the-art machine learning and data science models to drive business value; Collaborating with business partners to understand their challenges and requirements, and translating them into technical solutions; Building and scaling data pipelines to support advanced analytics; Communicating technical solutions to business stakeholders and driving adoption; Mentoring and growing a team of data scientists. Qualifications: Advanced degree (PhD preferred) in a quantitative field such as machine learning, statistics, operations research, or computer science; 5+ years of experience in data science, machine learning, or advanced analytics; Strong background in Python, SQL, and cloud-based data engineering tools; Experience in production deployment of data science models and applications; Proven track record of impactful data science projects and solutions; Excellent communication and collaboration skills.

Fidelity Investments is a leading provider of investment management, retirement planning, portfolio guidance, brokerage, benefits outsourcing and other financial products and services to more than 35 million individuals, institutions and financial intermediaries.