— 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 stack (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).
— Knowledge and practical experience in regression optimization (Linear Regression, Non-linear Regression, XGBoost, CatBoost, LightGBM, etc.). — Experience in programmatic advertising.
— 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
LightAd is looking to develop a proprietary performance-oriented DSP with an embedded optimization module supporting various billing models, including CPM, CPC, and CPA. The main goal is to bring the technology in-house and receive all the benefits of owning the IP, such as: Customization: LightAd should have full control over the functionality of the solution. The solution’s ability to meet various business needs and requirements will set LightAd apart from the competition. Scalability: LightAd DSP should be designed to scale as the business grows and have the flexibility of adding new features and capabilities. The constraints of white-label solutions will no longer be an obstacle for the business. Security and compliance: Owning the IP allows the implementation of robust security measures, better control over data privacy, protection against security threats, etc. Long-term cost savings: Owning the IP leads to long-term cost savings. LightAd wants to avoid ongoing licensing fees and dependencies on third-party providers, which can become significant expenses over time. Potential acquisition: The technology should be the valuation multiplier if LightAd considers going to the business scenario.
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