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Senior Data Scientist

Riyadh, Saudi Arabia

Brief:

As a Senior Data Scientist, you will lead a team to develop and deploy advanced machine learning models, delivering data-driven solutions aligned with business objectives. This role involves leveraging AI/ML techniques to optimize marketing campaigns, segment audiences, analyze consumer behaviour, forecast ROI, and incorporate generative AI to drive innovation in media applications. By using cutting-edge AI/ML technologies, you will contribute to data-driven decision-making and support the development of transformative solutions tailored to the media industry.

 

Responsibilities

  • Collaborate with business stakeholders to define requirements and align data science initiatives with strategic goals.
  • Collect, preprocess, and integrate datasets through efficient ETL pipelines to ensure data quality and accessibility.
  • Perform exploratory data analysis and feature engineering to prepare data for modelling.
  • Build, deploy, and optimize scalable machine learning models for real-time and batch processing.
  • Design and implement robust data pipelines for processing large-scale datasets.
  • Develop predictive models, recommendation systems, and time-series forecasting techniques to enhance marketing campaign outcomes.
  • Fine-tune large language models (LLMs) for media-specific applications, including automating content creation, audience analytics, and campaign performance analysis.
  • Create new algorithms and models to solve complex business problems and unlock new opportunities.
  • Monitor model performance, identify improvement areas, and maintain retraining pipelines for continuous optimization.
  • Stay updated on the latest advancements in AI/ML technologies and apply innovative approaches to solve media industry challenges.
  • Mentor and guide junior data scientists, fostering collaboration across cross-functional teams.
  • Adopt Agile methodologies to foster collaboration, enhance efficiency, and deliver high-quality solutions in iterative development cycles

Must Have

  • Experience: 5+ years of hands-on experience in data science, with a proven track record of delivering end-to-end AI/ML projects.
  • Skills: Python, Pandas, Numpy, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, Hugging Face Transformers, GPT, BERT, Amazon SageMaker, AWS, GCP, Azure, Apache Airflow, Databricks, AWS Glue, Snowflake, Matplotlib, Seaborn, Git, Bitbucket.
  • Bonus Skills: Familiarity with the media industry, including campaign analytics, audience segmentation, and generative AI applications, is a plus.
  • Education: Bachelor’s or Master’s degree in Engineering, Applied Mathematics, Statistics, Data Science, Computer Science, or a related field.

Nice to have

  • Exceptional programming skills in Python, with a strong emphasis on writing efficient, clean, and maintainable code that adheres to Object-Oriented Programming (OOP) principles and design patterns. Focus on reducing strong coupling to ensure scalable systems, facilitate seamless updates, and minimize disruptions caused by changes.
  • Proactive in identifying and solving problems with impactful AI/ML solutions.
  • Ability to explain complex technical concepts to non-technical stakeholders in a clear and actionable manner.
  • Strong organizational skills to manage multiple projects, prioritize effectively, and meet deadlines.
  • Experience in creating innovative AI/ML systems to tackle real-world business challenges.
  • Comfortable working in an unstructured environment and navigating ambiguity with confidence.
  • Familiarity with vector databases for retrieving embeddings and enabling efficient similarity searches is a highly preferred skill.
  • Demonstrate a strong understanding of the ethical implications of AI technologies, ensuring that models and solutions are developed in a way that avoids harm to individuals, complies with relevant laws, and prevents unintended or negative consequences.
  • Actively consider security and privacy concerns when working with sensitive data and models, ensuring that all data handling practices align with best practices for data protection and regulatory compliance.
  • Familiarity with using Jira or similar project management tools to track progress, manage tasks, and collaborate with cross-functional teams efficiently.
  • Willingness to go above and beyond assigned responsibilities, actively contributing to the team’s success in a startup environment.

What We Offer

Each employee has a chance to see the impact of his work. You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly sports sessions, team building events, monthly drink, and much more


Perks

A full-time position
Attractive salary package.


Trainings (optional)

12 days / year, including
6 of your choice.


Team Activity

Play any sport with colleagues,
the bill is covered.


Creative spaces & entertainment

Also Fruit, coffee and
snacks provided.


Friendly Environment  

smart people, No dumb managers, no stupid tools to use.


Expand your knowledge 

various business industries.