Front/ Back Office Analyst
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Quantum Retail is looking for a stellar data scientist to join its team. As a scientist on the Q team you are responsible for all aspects of client development and implementation as it relates to the algorithms and inventory management. These can span everything from data analysis, algorithm design, testing, prototyping, supporting development and implementation, assisting with documentation for training and client delivery, supporting go-live and measuring ROI. Quantum’s product manages inventory for retailers; forecasting, order planning, allocation and replenishment plus analytics relating to product sizes, clustering, assorting/ranging and other related activities.Scientists are responsible for the science-related configuration and data quality of customer installations of Quantum’s solutions. They perform analysis on large data sets, collating and explaining results to varied audiences. This analysis informs the best science configuration for a given client installation.
Science, Strategy, Solutions are the three tenets of Q. Quantum’s innovative retail technology is the combined experience, intelligence, and vision of six seasoned industry executives who believed they could create a retail platform that streamlines supply chain complexities to provide intuitive inventory solutions—plus the infinite ingenuity of Q.
Q synthesizes retail science and strategy to capitalize on fluctuating patterns of consumer behavior and demand, adapt to emerging needs of retailers in an ever-evolving market, and solve specific inventory problems as they arise. Q’s predictive inventory management software empowers retailers with the actionable insight, strategic agility, and profit-driven efficiency to thrive in today’s high-velocity marketplace.
Required Skills and Experience
Total annual compensation is USD $60,000 paid at $30/hour for a 40 hour, 50 week work year.
To qualify, please provide a resume/CV demonstrating the required experience and skills. From here you will be invited to compete in a set of online challenges that will help us find the top 1% of global talent
Are you up for the challenge?