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:
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.
Create, evaluate, & improve data products including smart/optimization/personalisation algorithms, recommender systems, forecasting and predictive models.
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.
Care for the standards and quality of your analyses, code, and implementation.
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
Minimum 3 years experience as a Data Scientist, in a customer-centric company, preferably e-commerce, retail, transactional marketplace, or e-health.
Degree in Computer Science, Data Science, Engineering, Statistics or similar.
Experience creating, evaluating, & improving Data Products using:
Advanced Python: Libraries including pandas, scipy, scikit-learn, gensim, etc.
High SQL knowledge: Snowflake, Redshift, or other data warehouse
Domain knowledge: Marketing, business, finance, logistics, etc.
Background skills: Machine Learning, data analysis/visualization/pre-processing, statistics, a/b testing, quantitative and qualitative analysis, etc.
Other Skills:
Version control GIT
Languages: English (proficiency)
Experience in Agile methodologies
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