Iranian company dealing only with Iranian entities
1393
Privately held
Company score
3.8
Digital marketing platform
Video and banner ads in popular mobile applications
Ads in micro and macro influencer marketing
Tepsell, the digital marketing leader, is the only omni-channel digital advertising network in the digital space, reaching more than 40 million unique online users per month, through more than 30,000 applications and games such as Telewebion, Amirza, Quiz. Of Kings, Football & Manchers, and access to more than 1,000 popular sports and news websites such as Sports 3, Tabnak, Fars, 90 and Digiato, and supports all banner and video advertising formats.
In addition to mobile and web advertising, Tepsel is present on social media as a micro / macro influencer marketer and is also an exclusive advertising agency for cafebazaar...
Job Description Every ad has a different objective. Some aim to maximize visibility, others to drive clicks, while some focus on user acquisition. The Data Science team is responsible for selecting the most relevant ad from hundreds of available options and delivering it to the right user. Achieving this requires solving several challenging problems, including:
Late Events: The time between a user viewing an ad and installing the advertised app can span several days. This delay affects data labeling and creates challenges for model training and evaluation.
Partial Feedback: We can only observe user feedback for ads that have actually been recommended and displayed. This creates a selection bias, as feedback is unavailable for ads that were not shown to users.
Imbalanced Datasets: Positive user interactions with ads are significantly less frequent than non-interactions, resulting in highly imbalanced datasets that require specialized modeling approaches.
As a member of the Data Science team, you will work on these and other challenging problems, applying your expertise in machine learning, statistics, and probability to develop, evaluate, and improve models and algorithms that power our advertising platform. Key Responsibilities
Translate complex advertising problems into mathematical formulations.
Develop, evaluate, and improve machine learning models and algorithms.
Debug, monitor, and analyze algorithm performance to identify issues and opportunities for improvement.
Collaborate closely with cross-functional teams to ensure the effective implementation and deployment of algorithms in real-world environments.
Continuously explore and apply relevant data science techniques to improve advertising performance.
Requirements
Strong analytical and problem-solving skills.
Strong programming skills in Python.
Hands-on experience with core Data Science libraries, including scikit-learn, NumPy, SciPy, and pandas.
Strong understanding of machine learning concepts and algorithms.
Solid knowledge of statistics and probability.
A Master's or PhD degree in Artificial Intelligence, Mathematics, Statistics, or a related field, or equivalent relevant professional experience.
Ability to work effectively both independently and as part of a cross-functional team.
Nice to Have
Familiarity with advertising-related problems and relevant industry experience.
Knowledge of Multi-Armed Bandit problems and related algorithms.