Data Science & Machine Learning, Technology Management
8 - 10 years
What You Will Do
Lead a team of data scientists and data engineers in using data science, machine learning, and deep learning to drive product innovations, customer success, marketing optimization, and more.
Cooperate with business roles for demonstrating the world-class data science products, and for guiding the customers on adopting the cutting-edge AI concepts and logic.
Represent data science and data engineering teams with customers during requirements gathering, data flow, use case design, and implementation will enable successful business outcomes for machine learning use cases.
Actively drive the major AI work streams including Machine Learning, Deep Learning and Statistical modeling, and the initiatives on AI.
Drive the building and continuously enhancing the data science framework for maximizing the efficiency of model building, for optimized performances, as well as the fully covered automation.
Identify, evaluate, propose and drive the opportunities on new use cases as well as useful insights for solving key business issues and delivering significant business value.
PhD, Master Degree or higher in Computer Science, Data Science or similar area.
8+ years of hands-on data science experience working ideally in a Retail, QSR or Finance.
8+ years of leadership experience in SaaS software development, data science & analytics, and have managed a team of high performing data scientists and analysts. Very experienced working with customers and in the software engineering process for delivering large scale and quality applications.
Strong knowledge on the big data techniques including the Hadoop/Hive eco-system, distributed data processing, message queues, high-performance databases (columnar, sharding, etc.), and massive parallel processing and micro-batch processing engines such as Apache Spark.
Experienced in statistics & analytical modeling, time-series data analysis, forecasting modeling, machine learning algorithms, and deep learning approaches and frameworks.
Have a proven track record of delivering robust, scale and quality data analytical applications in a cloud environment.
Experienced in building, growing a team with data scientists and software engineers, and experienced in developing the team to establish a talent pipeline.
Have experience managing cross-country teams including members in US as well as overseas locations (India, Canada).
Have very good communication skills and cross-team collaboration skills for business needs to be converted and prioritized to the right data analysis projects.