Our data science team is growing! If you’re looking to work in a very dynamic tech company with high growth, this is for you!
AppTweak is the leading ASO tool driven by data science. AppTweak empowers mobile leaders - such as Amazon, Jam City, Yelp, Zynga, and Adobe - to grow their apps and games with actionable insights in a simple interface.
Committed to developing the most accurate, transparent, and easy-to-use ASO tool on the market, AppTweak supports over 1,500 app developers and game publishers worldwide. AppTweak’s all-in-one platform offers ASO Intelligence, Ad Intelligence, App Intelligence, and Market Intelligence.
AppTweak has been awarded the “Best ASO Tool” by the App Growth Awards community and was recognized as the 6th Fastest-Growing Technology Company in Deloitte Belgium’s Fast 50 competition. Launched in 2014, AppTweak serves customers from all corners of the world, with offices in Brussels, San Francisco, Tokyo, and Bengaluru.
At AppTweak we believe that data science makes our software unique compared to our competitors, so we have high expectations and high curiosity!
What does a senior data scientist do at AppTweak?
As a senior data scientist, you are at the origin of our next product features. You’ll join a team of data scientists who work hand-in-hand with the Product team, developers, and ASO Experts to build machine learning and statistical algorithms that empower our software. Our projects cover most of the standard spectrum of data science from classifiers and regressors on tabular data, to natural language processing, outliers detection in time series, or even computer vision. Our sector moves fast, and so do we: we remain on the cutting edge. These new features will be used by over 1500 customers worldwide, including mobile leaders like Paypal, Warner Bros, Expedia, Electronic Arts, etc.
Your main duties would include:
Ideate, prototype, fail and refine statistical, machine learning and deep learning models with the team
Plug & Play with diverse data sources including massive databases fed by >5 years of data from Apple and Google
Be creative, study our data and use your expertise to discover the patterns that we have missed
Come up with deployable analytical models, using cutting edge technologies to deliver state-of-the-art results
Combine existing signals to create new indicators and metrics that measure or predict mobile apps success
Support the team in its growth: coach juniors to become data rock stars, suggest new tools and techniques to solve our challenges
Gain expertise in your field, would it be PyTorch, MLOps, or Cloud ML services
It’s in our DNA to come as we are and trust each other. We are free to take initiatives, bring our favorite algorithms, and test new ones every day.
Our team’s tech-guilty pleasures include:
Enjoying Facebook Prophet miracles for time-series analysis
Using deep transfer learning with Fastai library
Getting fancy graphs in just 3 drag-and-drops with Tableau
We are excited to hear yours!
First and foremost you:
Have worked for >3 years in a data science team (or similar) in a high tech company
Have experience with most of the following: Docker, Flask, AWS, PyTorch, Tableau
Have a solid understanding of statistics and machine learning techniques. You speak fluently with Tensors.
Speak English fluently. French or any other additional language is a plus
Are eager to learn other cutting-edge technologies in the field
Are a team player, willing to ship your work to production
Have worked in a SaaS startup before and enjoyed it
Have experience interacting with less technical colleagues (product managers/designers, sales/marketing, clients, etc.)
If you have another unique skill, we’d love to hear more!
So if you are motivated, ready to learn, and have a curious and innovative mindset, let’s meet!