Data Scientist

The Lead Data Scientist will deliver on activities related to the strategy, design, development, implementation of Data Science, Artificial Intelligence (AI) and Machine Learning (ML) for enterprise application functions. Frequently interacting with key stakeholders, the Data Scientist will lead and create advanced analytics models from conceptualization to completion. This position will support different products or lines of businesses to build innovations around AI.

Responsibilities: 

• Collaborate with business functions/stakeholders on discovery for data science idea generation, provide ideas and influence as well as drive changes
• End-to-end ownership of work from ideation to production.
• Develop, manage and maintain Machine Learning and Deep Learning infrastructure from pipelines and modelling to machine learning products and decision support.
• Work with the business to understand the problem space, identify the opportunities, and translate our problems into analytical solutions
• Work with other Data Teams and Data Engineers to build upon our data collection, storage, and processing infrastructure 
• Develop, distribute, support - standards, best practices, innovative and automation modeling techniques, and procedures
• Manage activities that take place during solution ideation, solution design, solution implementation, optimization, and operation
• Coordinate enhancements and maintenance of information systems to ensure highly reliable and cost-effective operation

Qualifications:

• 5+ years of Digital/Data/Analytics/Statistics experience, including 3+ years in Applied AI/ML and Data Science
• Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations 
• Hands on experience in building Machine Learning-enabled products or working with large complex data sets
• Hands on working knowledge in ML techniques including classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive models appropriate for solving different problems
• Hands on experience with distributed data/computing and orchestration tools: Azure Databricks, Spark, MySQL etc.
• Hands on expertise with statistical techniques and their applications in business.
• Hands on coding experience with several languages: Python, JavaScript, Java, R etc.
• Experience with design and development of Generative AI models using state-of-the-art techniques
• Strategic planning experience that adapts to communication between technical and business stakeholders
• Strong verbal and written communication skills, interpersonal skills, and organizational skills
• Strong presentation skills with both technical and non-technical audiences
• Strong team leadership and/or project management experience with multiple simultaneous initiatives
• Skilled in the management of complex systems and decision-making under uncertainty
• Excellent time management skills and strong attention to detail, with experience in adhering to best practices of managing the life cycle of data-intensive ML projects