AWS, Azure, Bitbucket, Confluence, Deep Learning, Google Cloud Platform (GCP), JIRA, Jupyter Notebook, Keras software library, Machine learning techniques, Python Programming, Reinforcement Learning, Scala Programming, Semi-Supervised learning algorithms, SPARK Programming, Supervised learning, TensorFlow, Unsupervised learning
We are looking for the best data scientists. You can be a graduate in any STEM discipline where you have used machine learning or other AI techniques to solve significant problems. Ideally you have a Masters or PhD degree in machine learning, mathematics, applied statistics, operations research, data mining, physics, or a related quantitative discipline. Regardless of academic training you should have a deep understanding of statistics and the mathematics behind machine learning models. Any experience with supervised, unsupervised, semi-supervised ( reinforcement learning ) and deep learning modeling is a big asset.
Since we answer tough questions for the global brands that use our technology, you will be challenged to create new metrics and scores that respond directly to their issues.
You will be expected to participate in everything from EDA to model building to presenting results to clients and their senior leadership. We use Scala, Spark, Python, TensorFlow, and Keras.
Tools we use include Bit Bucket, Jupyter notebooks, Confluence, and JIRA. We run on four clouds: AWS, Azure, GCP and OCI. Depending on qualifications and work experience you will report in to either one of our Sr. Data Science Directors, or our CTO.
Cerebri AI is a data science company with a difference. We built our powerful CVX 3 AI software platform, not to sell, but to use in providing our customers with answers & actions for their toughest questions. Our target markets are time-series datasets – with a focus on customer experience (CX), traveler experience (TX), and increasingly ESG data. Solving tough questions in weeks not months generates massive payback for our users.