Data Scientist @

3 tygodni temu


Poland Xenoss Pełny etat

Project Light Ad 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: Light Ad should have full control over the functionality of the solution.

The solution's ability to meet various business needs and requirements will set Light Ad apart from the competition.

Scalability:

Light Ad 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.


Light Ad 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 Light Ad 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 (Num Py, Sci Py, Pandas, matplotlib, scikit-learn, etc.).

— Familiarity with main Deep Learning tools and frameworks (Tensor Flow/Keras, Py Torch).

— Familiarity with statistical methods and techniques, including A/B testing.

— Upper-intermediate level of English (written and spoken).

Project Light Ad 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: Light Ad should have full control over the functionality of the solution.

The solution's ability to meet various business needs and requirements will set Light Ad apart from the competition.

Scalability:

Light Ad 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.


Light Ad 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 Light Ad 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, Num Py, Sci Py, pandas, Degree, Data science, Machine learning, AWS, Azure, Matplotlib, scikit-learn, Deep learning, Tensor Flow, Keras, Py Torch, Statistical methods
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