Modeling & Customer Intelligence-Statistical & Machine Learning / AI Data Scientist

Building innovative models and solutions - leading discussions to frame problem statements, develop hypotheses, design data frames, recommend modeling approaches, measure success & testing criteria and establish scalable, efficient, automated processes for large scale feature engineering, model development, model validation and production
Lead communication with product teams and stakeholders to explain the abstract in simple terms, work closely with our DevOps function to ensure pushing of models to production is successful
Inspire team members - as one of the senior data scientists on the team, lead the effort to reduce complexity, mentor junior team members, forge creative breakthroughs and operate as ONE Team
Feature engineering - assist our engineers to develop datasets in a scalable manner for use in algorithms
Gain a deep expertise on data sources, required transformations, quality, consistency and velocity. Document mapping of all required data resources for modeling

Essential Requirements

Education (Bachelor’s degree or higher) in Computer Science, Mathematics, or a related technical field, or equivalent practical experience
6-10 years of experience in Data science, AI, statistics or a related field dealing with large complex data sets.
Expert level proficiency in Python or R especially on data wrangling, analysis, and modeling as well as proven ability to work with varied data infrastructures – including relational databases, column stores, NoSQL databases, and file-based storage solutions.
Experience with Apache Spark in particular MlLib (incl. Scala, PySpark and/or SparklyR), with Pytorch or Tensor flow
Experience with Kubernetes or other docker-container based solutions. Kubeflow or other model efficacy tools

Desirable Requirements

Equally important to these specific skills are a candidate's ability to:

The ability to multitask and learn new systems quickly, the ability to communicate clearly and concisely in English through writing and orally is a key competency as is demonstrable skill as a self-starter
Thrive in ambiguity & work with global team across various time-zones