Gosoft (Thailand) Co., Ltd.

See more company details.

Dec 6, 2025

Data Scientist/ML Engineer

Location

Pak Kret, Nonthaburi

Salary

Based on experience

Vacancies

Hybrid Work

Online Interview

Apply

Favorite

Job Descriptions

About the Role: At Gosoft Thailand, we are looking for a talented and driven Data Scientist to join our team and help solve business challenges through data-driven insights and advanced analytics. You will play a critical role in building AI/ML models, delivering actionable insights, and driving innovation in the retail and e-commerce industry. We develop data-driven solutions to support 7-Eleven and 7-Delivery, such as Search Engines, Recommender Systems, Demand Forecasting, and more. Responsibilities: - Design and implement predictive models, machine learning algorithms, and advanced statistical analyses to address business needs. - Analyze large and complex datasets to extract insights and identify trends, patterns, and opportunities. - Collaborate with cross-functional teams to define business challenges, collect requirements, and ensure alignment with data solutions. - Build and deploy end-to-end machine learning solutions, from feature engineering to model deployment. - Research and stay updated on the latest AI/ML trends and techniques to apply innovative solutions to business challenges. - Support the implementation of data-driven strategies to improve operational efficiency and enhance customer experience. Why Join Us? - Work with cutting-edge technologies in the AI/ML and data science space. - Be part of a dynamic team that values innovation, collaboration, and continuous learning. - Develop impactful solutions for 7-Eleven and 7-Delivery, shaping the future of retail and e-commerce. - Enjoy a supportive and flexible work environment that fosters growth and creativity. Join us and transform the retail landscape with data-driven solutions! 🚀

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
3+ years of experience in a Data Science or related role, preferably in retail or e-commerce domains.
Proficiency in Python; familiarity with data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
Solid understanding of machine learning techniques, statistical modeling, and data preprocessing.
Strong problem-solving skills with a focus on delivering practical business solutions.
Excellent communication skills, with the ability to present complex analyses to technical and non-technical audiences.
Knowledge of cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop, etc.) is a plus.