Overview
Role and Responsibilities:
▪ Translate business requirements from the client into equivalent modeling tasks
▪ Oversee the building of machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
▪ Supervise the use of a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
▪ Engage with client, understand requirements & suggest predictive modeling/ML solutions
▪ Nurture & lead a high performing team of data scientists that is highly engaged, operates with high degree of autonomy, accountability, and a sense of urgency in delivering on business outcomes
▪ Ensure thorough quality check of the output from team and provide tangible insights / recommendation to the client
▪ Establish best practices and governance routines to ensure adherence to model management policies, peer reviews, and compliance to policy standards for privacy, ethics, and bias
▪ Stay informed on the latest advancements in AI and technology space, finding ways to deliver value by applying and customizing these to our specific problem space
Company:
Acunor
Qualifications:
▪ Bachelor’s or Master’s (preferred) degree in in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent
▪ 4+ years of experience in Analytics consulting/ data analytics role
▪ Proficient in Python, PySpark, SQL, Excel and can work hands-on
▪ Experience developing models and algorithms independently, writing own code, developing strategy for algorithmic experimentation, and deploying in production
▪ Strong understanding of probability & statistical theory
▪ Thorough experience writing and optimizing advanced SQL queries, with large-scale, complex datasets
▪ Strong communication, problem solving, and organizational skills
▪ Must be detail oriented, quality driven, and able to shift quickly to new tasks
▪ Knowledge of data structures, data modeling and software architecture skills is a plus.
Educational level:
Bachelor’s Degree
Level of experience (years):
Mid Career (2+ years of experience)
