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)

Tagged as: , , ,