Chi tiết công việc

Job Description:

• Data Collection & Cleaning: Gather, process, and clean large, complex datasets from various sources.
• Analysis & Modeling: Apply statistical analysis, machine learning, and AI to find patterns, build predictive models, and test hypotheses (like A/B testing).
• Algorithm Development: Create and implement algorithms to manage and interpret data efficiently.
• Insight Generation: Uncover trends and patterns to solve business challenges, such as predicting customer behavior or optimizing pricing.
• Communication: Present findings clearly using data visualizations (dashboards, reports) for technical and non-technical stakeholders.
• Collaboration: Work with engineering, product, and business teams to integrate data solutions.
• Model Maintenance: Monitor and improve model performance and data accuracy.

Requirements:

• Programming: Python (Pandas, NumPy, Scikit-learn), R for analysis and modeling is a plus
• Databases & SQL: Querying and managing data with SQL.
• Statistics & Math: Probability, distributions, regression, linear algebra.
• Machine Learning (ML): Supervised/unsupervised learning, deep learning, model building.
• Data Wrangling/Munging: Cleaning and preparing data.
• Data Visualization: Tools like Tableau, Power BI, Apache Superset to present insights.
• Big Data: Familiarity with tools like Spark, Hadoop is a plus.
• Cloud Computing is a plus: AWS, Azure, GCP for large-scale data processing. 

Years of experiences: Fresher or Experienced

Benefits/ Opportunity:

• Working in an international, dynamic and professional environment with many opportunities to develop career
• Having opportunities of being trained oversea and working directly with oversea customer
• A stable and rewarding position where your long-term commitment will be highly valued
• Technical & Soft skills internal training courses
• Many company activities (Sport and music festival, TMA Futsal league …) are held annually
• Competitive salary and bonus
• Total Health Care Insurance
• Loan Fund
• Team Building Fund