Principal Data Scientist

Key Skills

Java Programming, Leadership, Python Programming, SQL, AWS, Data science techniques, R Programming

Job Description

CAG24: Atlanta Digital Hub 3350 Riverwood Parkway Suite 900, Atlanta, GA, 30339 USA

We are searching for a strategic and inquisitive senior data scientist to help imagine, develop and deploy powerful, high-impact data science/ai/ml solutions. In keeping with this overarching aim, the senior data scientist will be required to help shape data science opportunities working with the business, outline a work plan, assign tasks to junior staff, and monitor performance within the team. You should also harness your mastery of Data Science to act as a consultant on various aspects of these projects.

Senior Data Scientist Responsibilities:

• Helping shape opportunities to apply data science/AI/ML once they are identified by the business and/or the Principal Data Scientist.
• Broad-based experience working with AI/ML capabilities like computer vision, speech, text, etc., to build solutions to complex business problems/enable interesting last mile automation possibilities.
• Formulating and managing data science projects, which are geared towards furthering the business's interests.
• Using their intuition about the inner workings of statistical models to choose and implement the right models for the problem on hand.
• Ability to help define standards and frameworks around all aspects of the Data Science workflow, including coding and CI/CD standards and frameworks.
• Good, hands-on experience with Engineering aspects is required to produce a model.
• Mentoring Junior Data Scientists on the team.
• Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
• Guiding Junior Data Scientists in collating and cleaning data from various sources and in feature engineering and selection.
• Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
• Cross-validating models to ensure their generalizability.
• Producing or Reviewing and disseminating non-technical reports that detail the benefits and limitations of a model and allow the business to interpret the model output and translate it into business action.
• Ability to create visualizations that make it easy for the business to interpret the model output and take decisions/action.
• Staying informed about developments in Data Science and adjacent fields to ensure that we are leveraging applicable advancements in our company's context.
• Ability to roll up their sleeves rapidly learns and do Proof of Concepts, with tools and problem statements they haven't encountered in the past.

Senior Data Scientist Requirements:

• Should have a consulting mindset – willing to run fast and deliver business value rapidly.
• Advanced degree in data science, statistics, computer science, or similar.
• Past Experience with Data Science/ML/AI in an Industrial Company context preferred.
• Should be able to articulate the value of a Data Science intervention, but at the project formulation stage and after go-live.
• Proficiency in R or Python, where the latter is preferred.
• Proficiency with AWS Sagemaker and the AWS ecosystem of pre-trained AI accelerators and different ways of productionizing models on AWS.
• In-depth understanding of SQL.
• Competent in machine learning principles and techniques.
• Demonstrable history of leading and executing data science projects.
• Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
• Good mentorship skills.
• Ability to contribute to a healthy, stimulating work environment that frequently harnesses teamwork.
• Should have some understanding of prevailing ethical standards on AI and be able to sense and surface potential ethical issues with the Principal Data Scientist/CoE Leadership.