Job Description
This position will follow our hybrid work model, we expect the selected candidate to be in office 2-3 days a week(10-12 days a month ) at the following office location: St. Petersburg, FL.
Job Summary
The Lead Data Scientist supports development of advanced decision support systems by employing advanced techniques from data analytics (including statistical analysis) and machine learning, particularly including NLP. The successful candidate will join an innovative and energetic team that develops capabilities that improve the performance of our business units and make them more efficient. This is a hands-on role in which the Lead Data Scientist is expected to carry out a project from start to finish. This job requires working at our headquarters in St. Petersburg, FL.
Responsibilities:
Working with business partners, define a business use case utilizing machine learning or advanced analytics
Collect, clean, and analyze data from various heterogeneous data sources
Develop machine learning models for prediction or classification in support of a business use case
Implement advanced AI solutions, e.g., deep learning
Deploy models to production systems using Docker containers
Write Python modules to automate Data Science tasks
Review Python code of junior colleagues
Knowledge and Abilities
Education
Bachelor’s: Data Processing, Bachelor’s: Data Science (Required), Master's
Work Experience
General Experience - 6 to 10 years
Certifications
Travel
Workstyle
Hybrid
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
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