This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This is an individual contributor data science role. In this role, the individual leads 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 business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.
Job Responsibility:
Leads 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 business and technology partners to identify priorities and establish analytic goals
Executes on direction for data identification, collection and qualification activities
Presents reports and findings to senior technical and non-technical audiences
Requirements:
PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience
Deep expertise in Python, data-centric ML techniques including engineering principles for building efficient inference tools
Experience taking a model from research 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/ML 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, leadership, and research skills
Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research to real-world data challenges
Experience or strong interest in quantitative finance and modeling financial markets
What we offer:
Comprehensive health care coverage and emotional well-being support
Market-leading retirement
Generous paid time off and parental leave
Charitable giving employee match program
Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career