Senior Data Scientist - Product
August 5, 2023
Description
• 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 - always staying ahead of the customer. • 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. • 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 ensures 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
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. (Contribution of new knowledge/implementation of new knowledge in innovative ways through any of the above ways, is a key requirement.) • 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 ensures 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
Benefits
• Working in a dynamic startup environment • Competitive salary and benefits • Great and fun work environment; you get an opportunity to work with brilliant minds at Ajua • Growth stage startup grind!
Apply Now