The 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.

　　Detailed Description:

　　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

　　Responsibilities:

　　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

　　Qualifications:

　　Bachelors Degree - Maths, Statistics, Science, Data Science, Computer Science, Electrical/Computer Engineering

　　Masters Degree - MS in Data Science, AL/ML, Business Analytics

　　Licenses/Certificates/Designations - Data Science, AI/ML

　　_Wesco International, Inc., including its subsidiaries and affiliates (“Wesco”) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity and Affirmative Action Employer. _