Otten Coffee offers you a rare opportunity to join the Data Team in constructing the baseline of a scalable and impactful data-driven system in an e-commerce platform. We have a limitless data playground for you to explore insights, learn the business models from multiple perspectives, tackle business problems to optimize cost and improve revenues, and also to build machine learning pipelines. We go above and beyond in the Indonesian coffee industry with seamless shopping and coffee experiences.
Responsibilities:
- Learn the business models in depth through the business owners perspective to provide actionable suggestions in order to support the business' growth and tackle business problems.
- Combine business understanding, data processing, programming, statistical and data visualization to derive meaningful insights from broad datasets.
- Construct data infrastructure models, automatize data acquisitions and transformations then conduct data analysis to support other departments requirements alongside with other Data Scientists.
- Support for occasional in-depth data analysis prompts from C-level management and other departments leaders.
- Initiate the machine learning system from end-to-end, from the data collection, preprocessing of the data, building of the model, validation of the model, and serving the model in production together with other Data Scientists.
- Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders.
Requirements:
- Minimum 1 year of experience in Data Analysis or Data Science or Data Engineering.
- Proficient in SQL-based language as well as relational/non-relational databases.
- Has proficient understanding/experience in building data pipeline infrastructure.
- Proficient in data scripting languages, preferably Python.
- Proficient in basics of data science (e.g. math/statistics, algorithm, logic, data cleansing and preparation, feature selection, etc.)
- Experience in relevant tools such as Superset, Google BigQuery, Google Analytics 4, API, Google Sheet, etc is an advantage.
- Has experience in building end-to-end machine learning pipelines with cases of (but not limited to) recommender systems, clustering/segmentation and classification is an advantage.
- Experience in cloud based platforms such as GCP or AWS is an advantage.
- Experience in working with large amounts of data.
- Strong analytical skills and statistical reasoning.
- Has good communication skills and enjoys working with the team.
- A fast-learner with high initiative and curiosity.