Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES 

• Act in the capacity of a Data Science Solutions Lead for an array of advanced analytics solutions developed in collaboration between AAO and corporate functions such as HDD & Flash Business Units, Logistics & Supply-Chain, Procurement, Sales & Marketing, Finance, HR etc.
• Translate business questions and concerns into specific analytical frameworks that can be answered using statistical and machine learning methods.
• Use good judgment when and where it’s appropriate to use data mining & visualization vs. sophisticated Machine Learning algorithms such as NLP, time-series forecasting, recommendation engines, reinforcement learning etc to solve the business problem at hand.
• Make meaningful recommendations to AAO & corporate functions’ leadership team when it makes business sense to “make” vs. “buy” commercially available solutions.
• Effectively leverage & coach AAO’s talent pool of Data Scientists, ML Engineers, Data Engineers & Software Developers to build, test and scale advanced analytics solutions.
• Own end-to-end solution architecture from design, development, prototyping to production.
• Communicate complex findings in a structured and clear manner to a non-technical audience.
• Partner with AAO’s Analytics Business Partners (ABP) and relevant SMEs from corporate functions to understand business requirements, context & strategy to develop and execute to an advanced analytics roadmap.

Qualifications

REQUIRED

• BS in a quantitative discipline such as Computer Science, Engineering, Statistics and an MBA or MS in Business Analytics.
• Bachelors & 5+ years or Masters & 4+ years of industry experience in an analytics function related to demand forecasting, supply chain analytics or data science for a business function.
• Strong theoretical understanding & hands-on experience in statistical data analysis, AI & ML techniques (e.g., supervised and unsupervised modeling, NLP, Time-series forecasting, recommendation engines, reinforcement learning) and common data analytics tools (e.g., Python, R, PyTorch, Tensorflow etc).
• Experience with Database Technologies (SQL, NoSQL), Big Data Technologies (Hadoop, Hive, Spark) and Cloud Technologies (AWS, GCP).

SKILLS

• Ability to work independently and with team members from different backgrounds.
• Proven ability to convey rigorous technical concepts and considerations to non-experts.
• Strong problem solving and critical thinking skills.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.