Data Scientist

Are you ready to shape the future of media through cutting-edge AI and data science We are looking for an agile Data Scientist to turn complex media and customer behavior datasets into high-impact digital solutions in a dynamic, forward-thinking environment.

Key Responsibilities

• Develop and optimize predictive models (e.g., propensity modeling, churn prevention, Customer Lifetime Value) and machine learning algorithms to enhance readership, subscriptions, ad performance, and content recommendations.
• Conduct exploratory data analysis (EDA), perform data extraction and transformation, build custom automation workflows using Python, and maintain automated data pipelines.
• Deploy machine learning models server-side into production environments, set up CI/CD pipelines for automated retraining and drift monitoring, and track model performance.
• Create compelling dashboards using Google Data Studio, and translate complex technical concepts into strategic insights for business partners.

Required Qualifications

• Bachelor's Degree or Postgraduate qualification in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
• 2 to 5 years of relevant working experience developing, training, evaluating, and deploying machine learning models in production commercial environments.
• Proficient in Python or R for data processing, analytics, automation, and machine learning development.
• Strong foundation in supervised/unsupervised learning, predictive modeling, customer analytics, and NLP techniques (e.g., text classification, sentiment analysis, NER).
• Hands-on experience with LLMs, prompt engineering, RAG frameworks, and vector stores/databases.
• Solid database and pipeline experience with SQL, BigQuery, or MySQL.
• Experience with cloud platforms (preferably GCP, Vertex AI, Gemini API) and MLOps/CI-CD workflows.
• Familiarity with data visualization tools such as Google Data Studio.

Why Join Us

• Based at Menara Star, PJ, just a 5-minute walk from MRT Phileo Damansara.
• Comprehensive medical coverage provided for both you and your dependents.
• Enjoy our in-house cafe and cafeteria.
• Access to in-house training and development and exclusive staff discounts on our partner brands.

If you are passionate about building scalable AI solutions and driving data-led innovation, submit your application today and let's transform the media landscape together!