This listing has expired.
We are looking for a Data Scientist to our multinational client who will be working on one of the worlds largest and most unique databases of natural responses to video stimuli. We can provide you with the challenge to work on one of the worlds largest facial coding databases and a ground-breaking technology that teaches computers to better understand human emotions.
Your responsibilities will be
- Explore flesh out new features by proposing candidate solutions to customer problems, defining hypotheses and testing them with data (A/B tests, secondary analysis of existing data, predictive modelling)
- Discover work iteratively on a machine learning pipeline built to relate characteristics of content (video, audio, text, etc.), audiences (demographics), context (device, time of day etc.) with viewer responses (attention and emotions
- Expand contribute to the implementation of data features in our Feature Computation Platform, a distributed cloud system that handles the computation of metrics and norms.
You need to have
- 2-3 years of professional experience as a Data Scientist or Analyst
- Youll need to have solid background in Statistics & Computer Sciences
- Hands-on predictive modelling experience (in particular supervised learning and statistical inference
- A team-mindset
- An appetite to build, our data science function is dedicated to building awesome products
If you also have these, even better
- Familiarity with app frameworks like streamlit (ideal) or flask/django
- Familiarity with the AWS environment
- Experience with experiment managers such as mlflow, neptune.ai or h2oflow
- A PhD in Mathematics, Statistics, Computer Science, or Econometrics or any related field
What We Offer
- Work with one of the worlds largest human behavior datasets
- Great working environment and state of the art work tools
- Career and skill growth supported by budget for professional development
- Fun international team with lots of varying interests and activities that we often join to do together
- Unlimited vacation days and 100% paid sick leave
- Flexible working hours and remote working
[rdp-linkedin-login]
