Who we are
We are a boutique innovation consultancy in the US and Europe that help Fortune 500 clients develop, test, and launch new propositions. Throughout our projects we apply our unique approach combining data analytics, machine learning, and product design.
Do you want the opportunity to build a Data Science function within a dynamic and international environment? As this is a Senior role within the business, you have the autonomy to own Data Science from the start in a Data-Driven culture.
As our Data Science Lead, you will join a collaborative team of technology, design and innovation enthusiasts who built new innovative solutions for the biggest brands in the world.
Why you want to join us as our Data Science Lead
Built, lead, and develop the Data Science insights within a vibrant, young and international agency
Push the boundaries with new techniques
Autonomy, freedom, and ownership within a Senior position within the business
Opportunity to learn, upskill, and influence the performance of our business
As Data Science Lead you have
The desire to play a hands-on role in the development of new solutions for clients
An understanding of the full end-to-end Data Science lifecycle through to producing a solution (read more in responsibilities & desired skills)
Experience working with marketing and engagement data i.e. behavioural data, digital interactions
The ability to manage business understanding and technical understanding
As Data Science Lead you will
Help us discover the information hidden in vast amounts of data, frame and visualize it in a clear and compelling way for end business users, and ultimately help us make smart suggestions to deliver superior client results.
Find a list of responsibilities below:
Selecting features and optimizing classifiers using machine learning techniques
Data mining and machine learning using state-of-the-art packages, methods, and tools
Applying data science seamlessly to both client data and scraped 3rd party data (high comfort with Beautiful Soup, Selenium, ParseHub, and other scraping tools is preferred)
Enhancing data collection and cleaning procedures to include information that is relevant for building analytic systems while minimizing noise and enhancing signal potency
Running authenticity analysis on consumer posts and reviews
Framing, visualizing, and clearly communicating machine learning insights for non-technical users
Running NLP analysis with Python packages including NLTK, Gensim, StanfordCoreNLP, and others
Running keyword analysis and statistical analysis to create weighted trend analyses
Your primary focus will be in applying data mining techniques, doing statistical analysis, and applying existing and developing new algorithms to determine consumer demographics, core market trends, product features, consumer sentiment based on publicly scraped reviews, and other related exercises.
Therefore, we desire the following:
If you’re interested please send us your CV and we’ll get back to you within 3 days!
We’re looking forward to hear from you!
Roos Hofland and the USA Innovation Booster team