Vice President, Data Science

Soteriare; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Vice President of Data Science to lead innovative machine learning initiatives. This senior role involves overseeing the entire process from research to production, ensuring impactful results for the business. You will collaborate with various stakeholders to identify AI use cases and drive projects that deliver measurable value. If you are passionate about data science and thrive in a collaborative environment, this opportunity offers a chance to make significant contributions within a dynamic team.

Qualifications

• 8+ years of industrial experience in data science.
• Expertise in Python and machine learning techniques.

Responsibilities

• Lead multiple machine learning projects with complex challenges.
• Coordinate with business partners to develop analytical solutions.

Skills

Python

Machine Learning

Project Management

Data Analysis

Statistical Modeling

Education

PhD or Master's in AI/ML, Computer Science, Statistics, Physics or Finance

Tools

Data-centric AI/ML techniques

Job description

Vice President, Data Science page is loaded

Vice President, Data Science

Apply locations Boston, MA time type Full time posted on Posted 3 Days Ago job requisition id 2107506

Job Description:

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:

• PhD or Master's in AI/ML, Computer Science, Statistics, Physics or Finance (with a background in Machine learning), with 8+ years plus of industrial experience.
• Deep expertise in Python, data-centric AI/ML techniques
• Experience taking a model to production and realizing measurable value from it to the team or firm
• Ability to work on and drive progress for multiple projects at the same time
• Experience guiding business on identifying AI use cases and optimally contributing to brainstorming sessions
• Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
• Excellent planning, project management, consulting, leadership, and talent management skills
• Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery

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.

Similar Jobs (1)

Principal GenAI Engineer (Asset Management Technology)

locations Boston, MA time type Full time posted on Posted 30+ Days Ago