As a Data Scientist, you will have the exciting opportunity to work on a variety of projects ranging from decision support tools for internal process optimisation to state of the art data science algorithms integrated into our customer facing applications.
Tasks and Responsibilities:
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Interface with stakeholders to understand and solve their data needs, to brainstorm and co-create new data products with them, and to help them make data-driven decisions.
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Create, evaluate, & improve data products including smart/optimization/personalisation algorithms, recommender systems, forecasting and predictive models.
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Develop these analytics, models, and algorithms from the initial idea to the implementation deployed in production, with a mind toward the final consumer/stakeholder, accuracy, scalability, and an iterative approach.
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Care for the standards and quality of your analyses, code, and implementation.
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Support your teammates by participating in data science brainstorming discussions, reviewing their code and results, and working collaboratively especially during the POC/R&D phase.
Knowledge & Strengths
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Minimum 3 years experience as a Data Scientist, in a customer-centric company, preferably e-commerce, retail, transactional marketplace, or e-health.
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Degree in Computer Science, Data Science, Engineering, Statistics or similar.
Experience creating, evaluating, & improving Data Products using:
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Advanced Python: Libraries including pandas, scipy, scikit-learn, gensim, etc.
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High SQL knowledge: Snowflake, Redshift, or other data warehouse
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Domain knowledge: Marketing, business, finance, logistics, etc.
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Background skills: Machine Learning, data analysis/visualization/pre-processing, statistics, a/b testing, quantitative and qualitative analysis, etc.
Other Skills:
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Version control GIT
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Languages: English (proficiency)
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Experience in Agile methodologies
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