Data Scientist, Makro at Makro PRO

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

02 Jul, 26

Salary

0.0

Posted On

03 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data analysis, Predictive modeling, Machine learning, Data engineering, MLOps, Feature engineering, Demand forecasting, Customer behavior analysis, Inventory optimization, Tableau, Power BI, Matplotlib, Scikit-learn, TensorFlow

Industry

Software Development

Description

Overview: We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus. Responsibilities Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges. Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization. Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions. Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making. Innovation: Stay updated on the latest tools and techniques in data science and retail analytics. Optional Responsibilities (if experienced): Feature Engineering: Engineer and optimize features to improve machine learning model performance. Automate feature extraction pipelines for scalable workflows. MLOps: Contribute to the deployment, monitoring, and retraining of machine learning models in production environments. Data Engineering: Assist in designing and maintaining data pipelines and ensuring data quality. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: At least 2 years of experience in data science or a related field. Technical Skills: Proficiency in Python for data analysis and machine learning. Strong SQL skills for managing and querying large datasets. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib). Soft Skills: Strong problem-solving, communication, and teamwork abilities. Preferred (Optional) Qualifications: Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker). Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow). Experience in building real-time analytics or personalization systems. Clear focus. Diverse Workplace (Our members are from around the world!) Non-hierarchical and agile environment Growth opportunity and career path

Responsibilities

The Data Scientist will collect and analyze large datasets to identify retail trends and develop machine learning models for demand forecasting and inventory optimization. They will also collaborate with cross-functional teams to present actionable insights through visualizations and dashboards.