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

Experience required
  • any or no experience
Career level
  • Middle Level
Salary
  • Negotiable
Job function
  • Research (R&D) / Science
  • IT / Programming
Job type
  • Full-time

Company overview

Size:500-1000 employees
Industry:Information Technology
Location:Bangkok
Website:www.gosoft.co.th
Founded in:2003
Ranking:4/5

Gosoft (Thailand), established January 1, 2003, operates as a subsidiary of CP ALL Public Company Limited and functions as a comprehensive IT organization. The company brings extensive experience in software industry development and delivers diverse information technology service ...

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Why join us: Our software engineering processes are performed in line with the requirements of ITIL, CMMi (Capability Maturity Model integration), and ISO/IEC 27001:2013, an international standard aimed at maturing people, process and technology assets to improve long-term business performance, as set forth by t ... Read more

Head office: 323 United Center, 11th Floor, Silom Road, Bangrak, Bangkok, 10500
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Benefits

  • Provident fund
  • Professional development
  • Flexible working hours
  • Five-day work week
  • Life Insurance
  • Social Security
  • Accident Insurance
  • Health Insurance
  • Job training
  • Performance bonus
  • Annual bonus
  • Learning & Development Opportunities
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