ALX - Principal Data Scientist

As the Principal Data Scientist, you will :

- Support the Head of Data in driving a - data first- mindset across the organization by developing scalable systems and processes for feature generation, data modelling, evaluation metric development, experimental design and hiring a world-class team of data scientists

- Develop and deploy robust, state-of-the-art data science solutions for the creation, curation and calibration of user-profiles, recommendation systems, and machine-learned search and retrieval systems using natural language interfaces

- Develop and document detailed plans for data science applications to conform to allocated resources and define quantifiable outcomes for the near-term, interim and future state

- Mentor young data scientists in your team and help them advance in their learning goals

- Encourage data-driven approaches to problem-solving across the organization by disseminating complex scientific ideas effectively and collaborating productively with Engineering, Product, Marketing, and Business teams

You should have/be;

- Proven record of building and managing teams of 5+ data scientists/ML engineers

- 10+ years of industry experience in data science and machine learning

- Masters degree or higher in Computer Science, Applied Mathematics, or Statistics

Fluent in Python, SQL

- Experience developing and implementing algorithms for multiple among user modelling, entity matching, recommendation systems, search systems, and natural language understanding

- Proven ability in using data-driven metrics to refine deployed systems by tracking ROC/AUC, engagement, conversion, retention, and related metrics

- Proficient with Python data science libraries (numpy, scipy, spacy, etc.). Proficient with R, Matlab or other statistical computing languages

- Proficient with deep learning frameworks like Tensorflow, Keras, PyTorch, etc.

- Comfortable with big data technologies like map-reduce, noSQL, Spark, HBase, Hive

- Strong record of published patents along with technical publications in peer-reviewed conferences and journals

- Strong communication and collaboration skills to work with people from different backgrounds