We are looking for an senior data expert who has a good overlap of business, data science and data engineering skills (yes, a unicorn!) and is therefore able to drive and lead one of our data science strike teams (typically architect/lead + data scientist + data engineer) in creating business value from data end-to-end using data science and machine learning.
We know that such unicorns are extremely rare and if you are not there yet we will help you become one. That's the way it worked with our other strike team leads - typically they were senior experts coming from one of the sides (data science, data engineering) who have a strong business sense (including very good communication and storytelling skills), were a bit tired of having to create everything themselves and were attracted towards working with a team and moving towards a business+data science+data engineering integrator role.
Who are we?
We are a machine learning and cloud data engineering boutique - we help clients from different industries (finance, retail, e-commerce, HR, etc.) use advanced data analytics (predictive modelling, machine learning, NLP, etc.) to improve their processes such as:
social network influencer recommendations
predictive cross-sell campaign targeting
display ad micro-targeting
finding the most relevant candidate for the job with NLP, image detection and recognition, etc...
A group of more than twenty data scientists and data engineers who were bored by large and slow projects in corporations or were lonely in start-ups and set off on another route. We do not have our own product, but we work on a project basis and try to help our clients find the best solutions.
We work in agile / prototype mode and build on modern data technologies, especially in the open-source and cloud world.
What would you do?
A typical strike team is typically integrated within a client and the role of strike team lead is to liaise with the business and find opportunities (business architecture), convert them into experiments/MVPs (data use case design) and drive the team effort to deliver them ensuring that all of the business, data engineering and data science parts of the puzzle nicely fall into one another. And yes, you will probably need to get your hands dirty with code as well quite frequently.
In practice the work of the strike team involves:
Implementing machine learning algorithms / predictive models (trees, regression, xgboost, clustering, recommendation, text mining / NLP, neural networks, etc.) in Python / R / Spark
Data / feature engineering using SQL, Python / R, Spark
DevOps and Cloud Infrastructure - Azure / AWS / GCP
Exploring and experimenting with new data technologies (streaming, distributed systems, unstructured data) and approaches (deep learning, ...)
It's not neccesarily about how many of these things you already know now, but that you are interested and want to understand them all.
You will like the job when:
You like working in a smaller cross-functional team on something that has a clear business purpose and use
You do not want to explore just one area of data analysis but you are interested in getting to know more clients / industries / projects and technologies
You want to work for a smaller flexible company (a combination of a remote and an office, a flat structure, etc.) and to be part of a team of people like you, so you can help and enrich each other
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