Principal Data Scientist 1227 views

Principal Data Scientist

There’s never been a more exciting time to be part of Staples. They are on an exciting journey to unlock the value of data using data science. If you are passionate about solving problems to drive superior customer experience using machine learning in a fast-paced work environment, this job may be for you! This role will be responsible for end to end analysis, model development, testing, implementation, and support mission critical applications. You will work collaboratively, in a consultative way, across the business units, advising on best approaches to leveraging data science in the most effective and efficient manner. You will also work closely with the Data Engineering team to drive automation of data science findings into the data stream. If you want to drive innovation and make a difference, they want to talk to you!

Responsibilities

• Define and own the strategy for AI/ML driven business transformation
• Support and guide the Data science team in day to day activities
• Research and identify new ways to solve the problem using ML and mentor the team
• Develop experiments (A/B testing), innovate new ways to solve the problem and partner closely with key stakeholders to optimize business model for growth
• Assist senior management in making key business decisions
• Build machine learning models (Linear and Logistic regression, Gradient Boosting, Random Forest, Neural nets etc.) from development, validation, through to deployment in production
• Work closely with product managers, software engineers as well as business partners to actively participate in design thinking session
• Guide the data engineering teams to optimize the data pipeline to support ML workloads and use cases
• Build and support models that power mission critical applications
• Establish best practices for foundational capability, scalability and performance of models on the edge
• Participate in design and code reviews

Basic Qualifications

• Masters in computer science, applied math, statistics, physics with 6 years of experience in data science solutions leveraging one or more of the following: machine learning, operations research, statistical modeling, natural language processing, deep learning, image analysis
• Experience with modeling processes and determine cause and effect relations
• Deep expertise in machine learning techniques and parameter optimization
• Experience working with development toolsets such as Spark, Python, R, Java, Scala, SQL
• Experience working in distributed computing environment
• Sound knowledge of statistical measures such as confidence intervals, error measurements, development and evaluation of data sets
• Excellent communication skills to translate the findings into business recommendations through rich data visualization
• Keen attention to detail, and ability to dive deep & analyze potential direction in absence of all required data
• Strong analytical abilities and a intellectual curiosity
• Ability to balance multiple priorities at a given time
• Must be team oriented, mentor and a customer first mindset

Preferred Qualifications

• PhD in Computer Science, Applied Math, Statistics
• Experience with AWS or Azure (Preferred)
• Experience using deterministic and non-deterministic mathematical programming, constraint satisfaction, advanced supervised and unsupervised learning techniques, natural language processing, markov decision process, and control theory
• Exposure to working in retail, manufacturing