Data Science Engineer | TFT

Xenoss, a leading MarTech/AdTech software development house recognized among the Inc. 5000’s top 100, is looking for a Data Science Engineer to join our team.

Project

We aim to develop an aggregate retail buying platform that provides unified campaign management, performance tracking, and insights across various platforms. The platform will enable brands and marketing agencies to run advertising campaigns from one unified UI. It will have easy-to-navigate self-serve capabilities and integrations with Criteo, CitrusAds, Amazon, Nielsen for analytics, and Broadbank for product data. The platform will contain a lot of modules, including Analytics, Reporting, Forecasting, Notification, and other services.

Required skills:

— Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
— Minimum of 5 years of experience in a data science or related role, with a proven track record of applying machine learning techniques to real-world problems.
— Experience with cloud services (AWS, Azure, etc.) and ML deployment tools (MLflow or Kubeflow).
— Proficiency in Python, specifically with the classical DS stuck (NumPy, SciPy, Pandas, matplotlib, scikit-learn, etc.).
— Familiarity with main Deep Learning tools and frameworks (TensorFlow/Keras, PyTorch).
— Familiarity with statistical methods and techniques, including A/B testing.
— Upper-intermediate level of English (written and spoken).

Nice to have:

— Knowledge and practical experience in regression optimization (Linear Regression, Non-linear Regression, XGBoost, CatBoost, LightGBM, etc.).
— Experience in programmatic advertising.

What will you do?

— Work closely with the team to understand business objectives and translate them into data science initiatives.
— Design, develop, and maintain scalable solutions using state-of-the-art AI and ML techniques.
— Establish scalable, efficient, and automated data analysis and model development processes.
— Clearly communicate the benefits and limitations of AI/ML models and capabilities to various stakeholders. Provide regular updates and insights to them

What you will get

— Teams of people who love programming
— Complex technical challenges with big data/high-load
— Freedom to make your own engineering decisions and broad space for creativity
— Modern technology stack to work with
— Work remotely or from the office options on a flexible schedule
— Long-lasting projects
— Financial compensation for professional events and education
— Opportunity to choose the equipment you like