AI and Data Scientist

At Gosoft (Thailand) Co., Ltd., we are looking for an experienced AI and Data Scientist to lead the development of advanced AI and machine learning solutions that drive innovation and business impact across our digital platforms.

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

• 6–10+ years 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