Data Scientist (f/m/x)
Europe (Remote)
Applications have closed
commercetools
Discover the world’s leading composable commerce platform. Sign up now for a free trial and transform your digital commerce experience.commercetools - we are:
- The competitive sort: We didn’t become the fastest growing, highest ever valued SaaS software company in digital commerce with nearly 100% year-over-year growth by sitting on the sidelines.
- Inspired: Continually exploring what’s possible — the innovators of headless commerce, the visionaries behind MACH — our patented tech has radically disrupted the world of enterprise ecommerce software - and we are just getting started.
- Valued: Smart, strong, passionate individuals hailing from over 50 countries across the globe, speaking over 43 languages, and collectively embracing diversity, encouraging inclusion, and fostering a culture of caring.
- Driven: We push the limits, technology, and ourselves to retain the trust of some of the world’s leading and fastest growing brands every single day.
The Opportunity:
Commercetools encourages critical thinking and data-driven decision-making. To support our data strategy, we are hiring an experienced Data Scientist. Essentially, you will support our company with insights gained from analyzing data. Our ultimate goal is to create and use datasets to provide data-driven analysis with current data and predictive calculations. You will be part of the Business Intelligence team that has the responsibility of extracting, modeling and providing data and information to the whole company.
Please note that for this role, we can currently offer full-remote work for candidates based in the EU and in the UK.
Your Mission:
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
- Assess the effectiveness and accuracy of current and new data sources and data gathering techniques
- Develop custom data models to be used by BI analysts and department stakeholders
- Use predictive modeling to increase and optimize business outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Support Data Engineers and BI Analysts on planning and developing new data models that allow user-friendly and customized reports
What you need to succeed:
- 3-5 years professional experience in the field of Data Science
- Experience in managing complex projects
- Good understanding of data structures and data management
- Strong analytical thinking skills
- Experience using statistical computer languages (R, Python, SQL, etc) to manipulate data and draw insights from large datasets
- Experience working with and creating data architectures
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- A naturally proactive approach with the ability to bring new ideas to fruition in a solution-oriented way
- Fluency in English
- Nice to have: hands-on experience with BI solutions (Tableau, Qlikview, Google Data Studio, Microsoft Power BI, etc.) and Data Engineering solutions (Google Cloud Platform, GitHub, CircleCI, etc.)
We care about your Growth and Well-being
☀️ Remote Work: Up to 60 days/year from a country different from your base country
💻 Open Learning & Development Budget
📚 ct Academy: Regular internal training sessions
🙌 Our Benefits: Fruit baskets and kicker tables were yesterday - check out our benefits here
⌚️ Flexibility: Morning person or night owl? We believe in outcome and motivated employees
🚀 Mindset & Growth: A diverse workspace with an open, international culture & learning environment
Are you ready? Come grow with us!
🔍 Are you looking for something else? Check out our Career Page and our Website for more information.
We are all different and that is what makes us stronger! We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company better.
commercetools celebrates being a diverse environment and is proud to be an equal opportunities employer. If your professional profile aligns with our specific hiring requirements and company culture, then we encourage you to apply. We will assess your competencies, future potential, approach to learning and self-development and passion, and not your age, color, national origin, religion, gender, gender identity or expression, sexual orientation, familial status, genetics, or disability.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Business Intelligence Clustering Data management Data strategy Data Studio E-commerce Engineering GCP GitHub Google Cloud Machine Learning Power BI Predictive modeling Python QlikView R SQL Statistics Tableau
Perks/benefits: Career development
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