Senior Data Science Engineer

We are looking for a Data Science specialist to help our client leverage technology solutions to guarantee top-quality services in a highly standardized and regulated domain.

The Waverley team offers the candidates a healthy work environment, a strong engineering community, and multiple professional development opportunities. If you have the relevant expertise and the desire to work and grow as an engineer, send us your CV and let’s get to know each other better. We might create the next great thing together!

Requirements:

• Knowledge of mathematics, statistics/probability theory.
• Knowledge of structured/unstructured datasets management.
• Ability to perform common ML tasks (classification, regression, clustering).
• Knowledge of basic ML algorithms.
• Knowledge of deep learning.
• Deep understanding of the ML models training pipeline;
• Proficiency in Python and such ML/DS-related frameworks/libraries as Tensorflow, Keras, PyTorch, Pandas, Numpy, etc.
• Ability to do effort and cost estimation for ML-related projects.

Nice to have: 

• Knowledge in outlier/anomaly detection.
• Knowledge of computer vision.
• Knowledge of cloud ML tools (AWS, GCP, Azure).
• Knowledge in predictive/generative AI.

Responsibilities: 

• Collect and analyze DS-related requirements and business needs, conduct customer data analysis and processing, create ML models training pipelines, and recommend and implement cost-effective deployment options.
• Depending on the customer-chosen direction, either integrate customized ML stuff into existing customers’ ERP or apply predictive AI to optimize bio labs maintenance effort.