We are looking for a Senior Data Scientist to join our team and drive data-driven decision-making in the retail industry. You will work on high-impact projects, developing predictive models, optimizing pricing strategies, and enhancing customer insights. The role requires expertise in machine learning, data engineering, and MLOps, along with experience handling large-scale data processing using PySpark.


Key Responsibilities:

  • Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing optimization, and inventory management.
  • Work with large-scale datasets and implement efficient feature engineering pipelines to enhance model performance.
  • Use PySpark to process and analyze large datasets in a distributed computing environment.
  • Collaborate with data engineers to build scalable data pipelines and ensure data quality.
  • Implement MLOps best practices for model deployment, monitoring, and retraining in production.
  • Design ETL workflows for preprocessing and transforming structured and unstructured data.
  • Communicate findings and recommendations to business stakeholders in a clear and actionable manner.
  • Stay up to date with the latest advancements in AI, machine learning, and data engineering.


Qualifications:

  • 5+ years of experience in data science, machine learning, or applied AI.
  • Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
  • Hands-on experience with PySpark for big data processing and analysis.
  • Experience with SQL for querying large datasets efficiently.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
  • Knowledge of MLOps practices (model versioning, CI/CD for ML, monitoring, automation).
  • Experience working with ETL workflows and data engineering pipelines.
  • Strong understanding of statistical analysis, time-series forecasting, and clustering techniques.
  • Excellent problem-solving and communication skills, with the ability to translate data insights into business value.
  • Experience in the retail industry or working with e-commerce/consumer data.
  • Familiarity with tools like Databricks, Airflow, MLflow, and Docker/Kubernetes.
  • Experience with deep learning frameworks for NLP or computer vision.


CP AXTRA | Lotus's
CP AXTRA Public Company Limited.
Nawamin Office: Buengkum, Bangkok 10230, Thailand


“By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.”

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™
  • āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰
āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™
  • āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļāļĩāđˆāļĒāļ§āļāļąāļšāļšāļĢāļīāļĐāļąāļ—

āļˆāļģāļ™āļ§āļ™āļžāļ™āļąāļāļ‡āļēāļ™:2000-5000 āļ„āļ™
āļ›āļĢāļ°āđ€āļ āļ—āļšāļĢāļīāļĐāļąāļ—:āļāļēāļĢāļ„āđ‰āļēāļ›āļĨāļĩāļ
āļ—āļĩāđˆāļ•āļąāđ‰āļ‡āļšāļĢāļīāļĐāļąāļ—:āļāļĢāļļāļ‡āđ€āļ—āļž
āđ€āļ§āđ‡āļšāđ„āļ‹āļ•āđŒ:www.lotuss.com
āļāđˆāļ­āļ•āļąāđ‰āļ‡āđ€āļĄāļ·āđˆāļ­āļ›āļĩ:1994
āļ„āļ°āđāļ™āļ™:4/5

At Lotus's, we get up every morning and questioned ourselves daily on how we can serve our customers better. Lotus’s is an omni-channel retailer in Thailand, with a commitment to providing great quality products at affordable prices, while doing good things for our customers, colleagues, and comm ...

āļ­āđˆāļēāļ™āļ•āđˆāļ­

āļĢāđˆāļ§āļĄāļ‡āļēāļ™āļāļąāļšāđ€āļĢāļē:

“At Lotus's, we are looking for people who are the change-agent with a passion to grow in both work and life. People who have the ability to think in an agile way and make everyday as a history to leave their own legacy in every part of business.” Lotus's People are: People wh ...

āļ­āđˆāļēāļ™āļ•āđˆāļ­

āđ€āļ‚āļ•āļ—āļĩāđˆāļ•āļąāđ‰āļ‡āļ—āļĩāđˆāļ—āļģāļ‡āļēāļ™: āļšāļķāļ‡āļāļļāđˆāļĄ
āļŠāļģāļ™āļąāļāļ‡āļēāļ™āđƒāļŦāļāđˆ: 629/1 Nawamintr Road, Nuanchan, Buengkoom, Bangkok 10230 , Thailand
Display map

āļŠāļ§āļąāļŠāļ”āļīāļāļēāļĢ

  • āļˆāđˆāļēāļĒāļ„āđˆāļēāļ—āļģāļ‡āļēāļ™āļĨāđˆāļ§āļ‡āđ€āļ§āļĨāļē
  • āļ›āļĢāļ°āļāļąāļ™āļŠāļĩāļ§āļīāļ•
  • āļ›āļĢāļ°āļāļąāļ™āļ­āļļāļšāļąāļ•āļīāđ€āļŦāļ•āļļ
  • āđ€āļ„āļĢāļ·āđˆāļ­āļ‡āđāļšāļšāļžāļ™āļąāļāļ‡āļēāļ™
  • āđ‚āļ­āļāļēāļŠāđƒāļ™āļāļēāļĢāđ€āļĢāļĩāļĒāļ™āļĢāļđāđ‰āđāļĨāļ°āļžāļąāļ’āļ™āļē
  • āļ›āļĢāļ°āļāļąāļ™āļŠāļļāļ‚āļ āļēāļž
  • āļāļ­āļ‡āļ—āļļāļ™āļŠāļģāļĢāļ­āļ‡āđ€āļĨāļĩāđ‰āļĒāļ‡āļŠāļĩāļž

āļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ§āđˆāļēāļ‡āļ—āļĩāđˆāļ„āļļāļ“āļ™āđˆāļēāļˆāļ°āļŠāļ™āđƒāļˆ

āļ”āļđāļ‡āļēāļ™āļ—āļąāđ‰āļ‡āļŦāļĄāļ” >

āļ—āļĩāđˆ WorkVenture āđ€āļĢāļēāđƒāļŦāđ‰āļĄāļđāļĨāđ€āļŠāļīāļ‡āđ€āļāļĩāđˆāļĒāļ§āļāļąāļšāļšāļĢāļīāļĐāļąāļ— āļšāļĄāļˆ.āļ‹āļĩāļžāļĩāđāļ­āđ‡āļāļ‹āđŒāļ•āļĢāđ‰āļē (āđ‚āļĨāļ•āļąāļŠ) āđ‚āļ”āļĒāļĄāļĩāļ‚āđ‰āļ­āļĄāļđāļĨāļ—āļĩāđˆāđ€āļāļĩāđˆāļĒāļ§āļ‚āđ‰āļ­āļ‡ āļ•āļąāđ‰āļ‡āđāļ•āđˆāļ āļēāļžāļšāļĢāļĢāļĒāļēāļāļēāļĻāļāļēāļĢāļ—āļģāļ‡āļēāļ™ āļĢāļđāļ›āļ–āđˆāļēāļĒāļ‚āļ­āļ‡āļ—āļĩāļĄāļ‡āļēāļ™ āđ„āļ›āļˆāļ™āļ–āļķāļ‡āļĢāļĩāļ§āļīāļ§āđ€āļŠāļīāļ‡āļĨāļķāļāļ‚āļ­āļ‡āļāļēāļĢāļ—āļģāļ‡āļēāļ™āļ—āļĩāđˆāļ™āļąāđˆāļ™ āļ‹āļķāđˆāļ‡āļ‚āđ‰āļ­āļĄāļđāļĨāļ—āļļāļāļ­āļĒāđˆāļēāļ‡āļšāļ™āļŦāļ™āđ‰āļēāļ‚āļ­āļ‡āļšāļĢāļīāļĐāļąāļ— āļšāļĄāļˆ.āļ‹āļĩāļžāļĩāđāļ­āđ‡āļāļ‹āđŒāļ•āļĢāđ‰āļē (āđ‚āļĨāļ•āļąāļŠ) āļĄāļĩāļžāļ™āļąāļāļ‡āļēāļ™āļ—āļĩāđˆāļāļģāļĨāļąāļ‡āļ—āļģāļ‡āļēāļ™āļ—āļĩāđˆāļšāļĢāļīāļĐāļąāļ— āļšāļĄāļˆ.āļ‹āļĩāļžāļĩāđāļ­āđ‡āļāļ‹āđŒāļ•āļĢāđ‰āļē (āđ‚āļĨāļ•āļąāļŠ) āļŦāļĢāļ·āļ­āđ€āļ„āļĒāļ—āļģāļ‡āļēāļ™āļ—āļĩāđˆāļ™āļąāđˆāļ™āļˆāļĢāļīāļ‡āđ† āđ€āļ›āđ‡āļ™āļ„āļ™āđƒāļŦāđ‰āļ‚āđ‰āļ­āļĄāļđāļĨāļˆāļĢāļīāļ‡āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ„āļīāļŠāļ­āļ­āļŸāļšāļīāļ§āļ•āļĩāđ‰āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ„āļīāļ§āđāļ­āļ”āđ€āļ§āļ­āļĢāđŒāđ„āļ—āļ‹āļīāđˆāļ‡āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļīāļ™āļ‚āđ‰āļēāļ§āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ§āļĩāļāđ‰āļē āļ­āļīāļ™āļŠāļ•āļĢāļđāđ€āļĄāļ™āđ€āļ—āļŠāļąāđˆāļ™