Lead Data Scientist

Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products
Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling
Generate and maintain and optimize data pipelines for model building and model performance evaluation
Develop, test, and evaluate modern machine learning and A.I. models
Develop highly scalable and efficient data pipelines to automate data ingestion and end-to-end data movement
Oversee implementation of models
Evaluate production models based on business metrics to drive continuous improvement

Essential Skills:

Data engineering and data science experience
Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark.
Familiar with data pipeline technologies and best practices with industry leading platforms such as Apache NiFi, Airflow or equivalent
Good knowledge of Linux / Bash environment
Python and one of the following machine learning libraries
Spark ML
TensorFlow
Scikit Learn
XGBoost
Good communication skills
Highly skilled problem solver
Exhibits a high degree of initiative
At least an undergraduate degree in CS, or a STEM related field.

Nice to have:

Bachelor s or Master s in CS, Data Science, ML/AI, or a related STEM field
Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error
Loves working with error-prone, messy, disparate, unstructured data
Experience in working with Cloud (e.g., Azure, AWS)
Experience participating in complex engineering projects in an Agile setting e.g. Scrum