NumpyPythonPyTorchSQLTensorflowRMachine LearningDeep LearningNatural Language ProcessingTensorFlowNumPyAnalyticsCommunicationCustomer Success
About this role
Role Overview
Frame business requirements and objectives as succinct data science problems
Extraction, cleaning and transformation of relevant data for different Integrated Customer Experience Problems for analysis, modelling and reporting
Implement and deploy robust, state-of-the-art analytics and machine learning models across the Ajua Product Stack, directly impacting merchants and enterprise customers
Work with product teams to translate product feature requirements and use cases into experiments, and lead with the design, development, analysis and reporting of results, leading to decisions that directly impact customers
Actively pursue improving data science skills, including but not limited to problem-solving, writing readable/testable/efficient code, mastering Integrated Customer Experience Data, and learning to anticipate Customer and Data related product issues and needs
Actively participate in internal Data Science and broader technology project reviews and participate in community meet-ups
Collaboratively work with the engineering, products, and customer success teams and communicate clearly and effectively regardless of seniority
Requirements
3+ years industry or academic experience in data science and machine learning
Bachelors/Masters in Computer Science, Statistics, Applied Mathematics, or Engineering
Highly Fluent in Python and SQL
Proficient with Python data science libraries (numpy, scipy, spacy, etc.)
Basic understanding of R (The team works using both Python and R)
End to end Statistics and probability understanding and rigour
Clear, and demonstratable/explainable comprehension of the fundamentals of learning algorithms
Natural Language Processing experience a huge plus
Familiarity with deep learning frameworks
Tensorflow, PyTorch, etc.
A record of published patents and/or peer-reviewed conference/journal publications will be considered a big plus
Ability to continuously review machine learning publications and scientific development, pick out what can be implemented and experiment to drive Ajua's innovation
Experience working on a team or in a group academic setting and demonstrated ability to collaborate well across teams
Ability to anticipate how contributions can affect larger Data product delivery, developing risk mitigation and contingency plans
Demonstrated excellent communication skills with technical and non-technical teammates and a high level of emotional and professional maturity
Ability to work seamlessly with Engineering, product and the Data Team to ensure Data-driven products launch smoothly and customer needs are met
Ability to Monitor the outcomes of the team’s actions to learn from mistakes and replicate successes
A connection to Ajua’s mission and values
Tech Stack
Numpy
Python
PyTorch
SQL
Tensorflow
Benefits
Great and fun work environment; you get an opportunity to work with brilliant minds at Ajua