Data Scientist @ Xenoss in Xenoss

Project

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.

— 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).

Project

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.

,[— 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]

Requirements: Python, NumPy, SciPy, pandas, Degree, Data science, Machine learning, AWS, Azure, Matplotlib, scikit-learn, Deep learning, TensorFlow, Keras, PyTorch, Statistical methods