Senior Data Scientist, Data Engineering

The Senior Data Scientist, Data Engineering is responsible for the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets. This role requires an enterprise mindset to build out robust, high-performance technology solutions.

Duties and Responsibilities, aligned with Key Results:

People

• Use a variety of leading-edge AI/ML tools to develop, test, and maintain data pipelines within the Platform Reference Architecture.
• Work directly with management, product teams and practice personnel to understand and execute on their AI/ML requirements
• Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors
• Develop and engage with colleagues by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance
• Foster an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions

Client

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

Value

• Function as a subject matter expert by staying current on the latest research, experimenting with new technologies, and sharing that knowledge internally.
• Ensuring strict compliance with all information and data security policies, best practices and 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
• Perform other duties as assigned

Education and Experience:

• Bachelor’s and/or master’s degree in a related field
• 7+ years of experience developing applications leveraging cloud-based data services, preferably in AWS or Azure.
• 7+ years of experience developing enterprise machine learning, analytics, or machine learning/data science solutions.
• 7+ years of experience in mixed Windows/Linux environments.
• 7+ years of developing C, Python, Scala or Java solutions.

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
• Command of one or more AI/ML domains and associated open source libraries, including natural language processing (NLTK) or image recognition (OpenCV).
• Command of one or more Machine Learning/Deep Learning frameworks, including Keras, PyTorch, Caffe, Scikit-Learn or Tensorflow.
• Knowledge of common optimization algorithms and the approaches to tuning and evaluating such algorithms.
• Fluency in Python.
• Knowledge of one or more database platforms, preferably cloud-based.
• Knowledge of at least one AI/ML pipeline technology or platform.
• Experience deploying, monitoring, and maintaining data pipelines in production environments
• Design models of data processing that implement the intended business model
• Develop diagrams representing key data entities and their relationships
• Generate a list of components needed to build the designed system
• Communicate clearly, simply, and effectively
• Commitment to diversity, accountability, transparency, and ethics.

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.

Supervisory Responsibilities:

• None

Work Environment:

• Standard indoor working environment.
• Occasional long periods of sitting while working at computer.
• Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.

Equal Opportunity Employer: disability/veteran