Data Scientist

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 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).

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

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.