Data Scientist

In this role, you will design and deploy large-scale machine learning systems, develop advanced analytical models, and translate complex data into strategic insights. You will collaborate with cross-functional teams including engineering, product, and business stakeholders to solve high-impact challenges in the retail and e-commerce ecosystem.

Our team builds data-driven solutions that support platforms such as 7-Eleven Thailand and 7-Delivery, including Search Engines, Recommender Systems, Demand Forecasting, Customer Analytics, and other AI-powered retail solutions.

Responsibilities

• Lead the design, development, and deployment of advanced machine learning and AI solutions to solve complex business problems
• Develop and implement predictive models, recommendation systems, forecasting models, and optimization algorithms
• Architect and deploy end-to-end machine learning pipelines, from data ingestion and feature engineering to model deployment and monitoring
• Analyze large-scale structured and unstructured datasets to uncover actionable insights and strategic opportunities
• Collaborate with engineering, product, and business teams to translate business challenges into scalable data science solutions
• Drive the adoption of best practices in machine learning, experimentation, and model governance
• Provide technical leadership and mentorship to data scientists and data engineers
• Evaluate and integrate state-of-the-art AI/ML techniques including deep learning, large language models, and advanced analytics
• Work closely with data engineering teams to ensure robust data pipelines and scalable ML infrastructure
• Communicate insights and technical findings to both technical and executive stakeholders

Qualifications

Required

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• 3 years plus of experience in data science, machine learning, or AI-related roles
• Strong expertise in machine learning, statistical modeling, and advanced analytics
• Proficiency in Python and data science ecosystems (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.)
• Experience designing end-to-end machine learning pipelines and production ML systems
• Strong experience working with large-scale datasets and big data technologies
• Ability to translate complex data analysis into business insights and strategic recommendations
• Strong problem-solving, analytical thinking, and leadership capabilities
• Excellent communication skills and the ability to present technical concepts to both technical and non-technical stakeholders

Preferred

• Experience in retail, e-commerce, or recommendation systems
• Experience with search ranking, recommender systems, personalization, or demand forecasting
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with big data technologies such as Spark, Hadoop, or Databricks
• Experience deploying models using MLOps frameworks and tools
• Knowledge of deep learning, NLP, or generative AI