Job Description

Job Summary:

As part of the Information Technology division, the Data Scientist will support the development of advanced decision support systems by employing techniques from data analytics and machine learning. Incumbents will be part of an innovative and energetic team that develops capabilities which will influence our business model and help Raymond James build the next generation data platform. The Data Scientist will have access to the vast amount of data stored in heterogeneous formats. Will handle complex problems with some direction and guidance and demonstrate analytical thinking. Is able to make judgements and recommendations based on the analysis and interpretation of data. This role is be based out of our headquarters in St. Petersburg, FL, but we are open to remote candidates that are based out of other locations in the U.S as well.

Essential Duties and Responsibilities:

• Analyze and understand business models, profile/analyze the data stored in various heterogeneous formats and help develop data insights. 
• Participate in identifying patterns in the data and prepare an inventory of items which could be developed/trained using data science capabilities like machine learning. 
• Utilize appropriate pre built models or help develop new models to predict and derive insights from heterogeneous data stores. 
• Support the team in exploration and implementation of advanced technological solutions such as machine learning. 
• Ability to identify unique data sets and information that may be useful for model development and analysis. 
• Under limited direction, seeks to understand what moves the needle for our financial advisors and our overall business model and explores data that could be helpful. 
• Performs other duties and responsibilities as assigned.

Qualifications
 

Knowledge, Skills, and Abilities:

Knowledge of:

• Experience with various machine learning and deep learning techniques, particularly around natural language processing.
• Working knowledge of Python and R.
• Experience with back-end and DevOps fundamentals – Flask, Pydantic, Postman, Docker, Kubernetes.
• Experience with AWS.
• Working knowledge of Big Data Technologies is preferred. 
• Working knowledge of parallel processing, multiprocessing in Python is preferred.
• Good communication and presentation skills and the ability to explain technical concepts to a non-technical audience. 
• Experience in Financial Services or Wealth Management industries is preferred.

Skill in:

• Using and developing machine learning models.
• Deploying machine learning at scale.
• API and data validation.
• Maximizing usage of limited compute resources.

Ability to:

• Identify and understand issues, problems and opportunities; compare data from different sources to draw conclusions. 
• Clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message. 
• Use effective approaches for choosing a course of action or developing appropriate solutions; recommend or take action that is consistent with available facts, constraints and probable consequences.
• Demonstrate a satisfactory level of technical and professional skill or knowledge in position-related areas; remains current with developments and trends in areas of expertise. 
• Develop and use collaborative relationships to facilitate the accomplishment of work goals. 
• Make internal and external clients and their needs a primary focus of actions; develop and sustain productive client relationships.

Education/Previous Experience:

• Minimum of a Bachelor’s degree in Statistics, Mathematics, Computer Science, MIS or related degree and two (2) or more years of relevant experience or combination of education, training and experience. 
• Master’s degree in Statistics, Mathematics, or Computer Science and one (1) or more years of experience highly preferred. 
• OR ~ 
• An equivalent combination of education, experience and training.