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