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An established industry player is seeking a senior data scientist to lead transformative machine learning projects. In this pivotal role, you will collaborate with business and technology partners to tackle complex analytical challenges and drive measurable impact. With a focus on AI/ML solutions, you will oversee the end-to-end process from research to production, ensuring that insights translate into real business value. This innovative team values collaboration and continuous learning, offering a dynamic environment where your contributions will shape the future of data-driven decision-making. If you're passionate about leveraging data science to create impactful solutions, this opportunity is for you.
The Role
This is a senior level individual contributor data science role. In this role, the individual leads multiple machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior level business and technology partners to identify priorities and establish analytic goals. Sets a strategic direction for data identification, collection and qualification activities. Presents reports and findings to senior level technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.
You will have:
The Team
We are a data science team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and have incorporated some LLM use cases into our pipeline, amongst other emerging technologies.
Certifications:
Category:
Data Analytics and Insights
Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.