We are industrializing enterprise AI, enabling enterprise to easily and scalably infuse AI into key operational processes at a fraction of the cost and complexity of current generation solutions. technology allows enterprises to deploy prefabricated solutions for common industry use-cases, customize, and scale them in production without requiring custom development or data-science capabilities. We are looking for world-class engineers, machine-learning engineers, and data scientists to join us and build our product and grow our vision. We're looking for customer-focused, self-driven engineers and scientists that want to solve big, complex problems with a huge impact.
We're looking for brilliant, creative, ambitious, fun-loving engineers and data-scientist. If you're all that and looking to lead, invent and grow professionally you should definitely consider applying to join us on our journey!
We are looking for experienced, savvy, data scientists to lead and execute machine learning projects in a wide range of industries (retail, banking, media, manufacturing) and domains (demand forecasting, NBO, content classification, …)
Be part of a data-science team where you will lead end-to-end ML projects. (from data extraction through model validation & A/B testing to model deploying)
Discovering and translating business challenges into data-pipelines and model framework
Manage and design Customer-specific analytical solutions using Machine Learning.
Work closely with Management, Data-Engineering and DevOps teams
Interface with R&D and data engineering to integrate data collection, data quality, and core model output into production systems.
Convey complex analysis results clearly and with conviction to all stakeholder levels
Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.
Minimum 6 years of relevant hands-on experience as a Data scientist / Machine learning expert
BSc or equivalent experience in a quantitative field (Statistics, Mathematics, Engineering, Economics, etc.)
An all-around data scientist: strong statistics background, strong analytical mindset, experience in experimentation, data visualization, machine learning algorithms, optimization and big data.
Experience with R or Python.
Exposure to SQL and relational databases
Excellent communication & interpersonal skills
Willingness to travel.
Excellent English - both written & verbal
MSc or equivalent experience in a quantitative discipline (Statistics, Mathematics, Engineering, etc.)
Prior practical experience in production with clustering and text analysis.
Strong statistics background, experience in data visualization.
Experience using SQL for data extraction and analysis.
Experience with web analytics: Defining user journeys, tracking, and attribution concepts, setting up and evaluating A/B-tests.
Prior consulting or customer-facing roles