The Senior Machine Learning Engineer is responsible for applying and deploying advanced analytics to improve decision-making at Staples. Using machine learning, statistical analysis, and mathematical optimization, the individual plays a key role in supporting the development of state-of-the-art solutions to complex decision-making problems. These problems will come from all parts of Staples and will include challenges like:
• Developing SKU demand prediction and item sourcing strategies that drive growth and profitability while minimizing Staples’ investment in inventory and achieving or exceeding service-level targets.
• Building and deploying algorithms that reduce order fulfilment costs across warehouse and transportation network through robotic automation, process control, and capacity optimization.
• Developing and implementing profitability models to ensure the right products are being offered to customers, and stocked in the right locations with right replenishment policies.
• Work closely with key partners to understand business problems, and then research, develop, and deploy analytical solutions.
• Communicate results to executive leadership.
• Analyze diverse sources of data, and implement innovative algorithms to realize actionable results.
• PhD or 1-3 years industry experience plus MS or 3-5 years industry experience plus Undergrad in Computer Science, Computer Engineering, Statistics, Operations Research, Applied Mathematics, Applied Physics, or related field
• Hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling, and mathematical optimization techniques and technologies
• Excellent ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical stakeholders
• Keen attention to detail, ability to dive deep, and easily adaptable to changes in environment and prioritization
• Experience developing large scale systems using parallel and distributed computing
• Experience architecting machine learning infrastructure, and developing & deploying large-scale data science applications (e.g. forecasting/search/recommendation engine, A/B testing/experimentation platform, benchmarking system etc.) using micro-services
• Experience working with development toolsets such as Spark, Hadoop, Python, C++, Java, Scala, Flask, R, H2O, Jupyter Hub, Docker, Azure/AWS/Google Cloud, Tensor Flows, GPUs, MYSQL, Teradata, MongoDB, NOSQL, PowerBI, Tableau
• Experience using advanced supervised and unsupervised learning techniques, natural language processing, robotics, computer vision, markov decision process, deterministic and non-deterministic mathematical programming, constraint satisfaction, and control theory
• The ability to think big, manage ambiguity to move quickly, and deliver results in an entrepreneurial environment
• Fearless but thoughtful in their pursuit of results
Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.