E-trink is seeking a talented individual who possesses infinite curiosity. We are building a global eCommerce powerhouse by prioritizing operational efficiency through the use of accurate scaling and technology. Our vision is becoming a global! This is an incredible opportunity to make a meaningful impact on the future of E-trink.
What we’re looking for
As Senior Data Science you will work across E-trink’s operation team and gather, analyze, evaluate data from digital channels. Also create meaningfull outcomes for our short and long term sales and marketing strategies.
Responsibilities
- You design and implement the full Data Science life-cycle: work closely with internal and external stakeholders to build instrumentation and define dimensional models, tables or schemas and form the basis for our business decisions
- You build first-in-class predictive models and proactively identify and champion projects that solve complex problems across multiple domains
- You steer the development of state-of-the-art analyses, models and dashboards for corporate management
- You developing quantitative models, leveraging machine learning and advanced data analysis techniques to
- The development of complex logics for customer and market segmentation, product recommendations and customer intelligence are a matter of concern to you.
- You support our integrations with third party systems
- You work in close cooperation with other developers, our product team and and other business leaders to influence product and program decisions with data
Qualifications
- You have a degree in Computer Engineering, Computer Science, Information Technology or a related field from a top tier university.
- You are our high proficiency in Python and SQL programming
- You have knowledge about visulation tools and BI, Tableau, MongoDB etc.
- You have strong experience in data analysis, writing complex SQL queries using joins, unions etc. and developing e-commerce dashboards
- You have at least 5 years of relevant experience
- You have a strong understanding of different business cases in e-commerce environment
- Dealing with evolving and complex data schemas is a matter of course to you
Benefits
- A competitive salary package
- Meal card support
- Annual company retreat
- Your performance will not be evaluated based on your working hours but your delivery
- Your birthday will be your OFF day.
How to Apply
Does this position sound like a good fit? Email us at team@e-trink.com
- Include this role’s title in your subject line (it’ll help us to sort through the emails).
- Send along links that best showcase the relevant things you’ve built and done.
Hiring Policy: Applicants will be evaluated, and HR will get contact with the fitting candidates for further steps.