Lead Data Scientist

The Lead Data Scientist is responsible for providing technical leadership in Data Science & AI/ML initiatives along with data-related application development leveraging cloud-based solutions. This role requires an enterprise mindset to build out robust, high-performance solutions and the ability to clearly communicate technical details within and outside of the team.

Job Description

Duties and Responsibilities, aligned with Key Results:

People

• Use a variety of programming languages and tools to design, develop, test, and maintain Data Science & AI/ML solutions within the Platform Reference Architecture with a focus on Python, AWS and/or Azure and using best practices.
• Working directly with management, product teams and practice personnel to understand their platform data requirements.
• Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors.
• Developing and engaging with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance.
• Fostering an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions

Client

• Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions.
• Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences.
• Analyzing user feedback and activity and iterate to improve the services and user experience.

Value

• Providing effective technical leadership to design, collaborate and lead the implementation for various Data Science, AI/ML and data engineering initiatives.
• Securing data in alignment with internal information and data security policies, best practices and client requirements.
• Creating and implementing robust cloud-based data solutions that scale effectively and provide powerful experiences for both internal teams and clients.
• Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performance.

Education and Experience:

• Bachelors and/or masters degree in a related field
• 4+ years of experience developing Data Science and/or AI/ML solutions.
• 4+ years of experience with cloud-based data services, preferably in AWS or Azure.
• 4+ years of experience developing Python, Scala, Java, .Net or similar solutions in a backend or data wrangling capacity.
• 4+ years of experience in mixed Windows/Linux environments.

Additional Required Skills and Experience:

• Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis, experience and judgment.
• Fluency in AWS or Azure, especially with GenAI and AI/ML related services.
• Fluency in one or more databases, preferably OLAP, OLTP and NoSQL is a plus.
• Experience with distributed data platforms is a plus.
• Experience with MLOps

Industry: Financial Services (Asset Management)
Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employment Type: Full Time, Permanent