SQL Machine Learning Big Data
1. Solution Design: • Collaborate closely with various departments (Marketing, Sales, Customer Service, Product) to gain a deep understanding of their practical needs and uncover opportunities to leverage data for driving business operations and enhancing customer care. • Design solutions, experiment, and develop statistical and AI/ML models that are aligned with business requirements, are feasible to implement, and can be scaled effectively. • Ensure compliance with all data security standards and regulations. 2. Data Science Project Implementation: • Participate in Data Science projects, analyzing customer behavior, predicting customer needs, personalizing customer experiences, and proactively resolving customer issues. • Develop decision support models and propose data-driven solutions to address business challenges. • Implement AI/ML models to solve specific business problems within the industry (e.g., sentiment analysis, churn prediction, product recommendation, price optimization). • Evaluate the effectiveness of implemented solutions and continuously improve them. 3. Research and Development & Training: • Research and apply new techniques and methodologies in the fields of Data Science and AI/ML. • Support the training and development of Data Science skills for team members. • Provide guidance and mentorship to other team members and related departments.
• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Telecommunications Engineering, or a related field. • At least 3 years of experience working in Data Science, Machine Learning, or data analysis; experience in the telecommunications/ISP industry is a strong advantage. • Solid knowledge of statistical methods and data analysis techniques; proficiency in Machine Learning algorithms (e.g., regression, classification, clustering, NLP, recommendation systems). • Proficiency in Python or R. • Proven experience in building and deploying Machine Learning models for real-world problems. • Experience working with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). • Experience working with Big Data tools (e.g., Hadoop, Spark, Kafka); experience with MLOps tools (e.g., Kubeflow, MLflow) is a strong advantage. • Understanding of software development processes and MLOps practices. • Strong teamwork, problem-solving, critical thinking, and effective time management skills. • Relevant professional certifications (e.g., Data Analytics Professional Certificate; AWS Certified Machine Learning – Specialty; Data Science Council of America (DASCA)) are a plus.
• Attractive annual income package (13 months' salary, performance bonus, quarterly bonus, annual bonus...). • Full benefits according to current labor laws. • Diverse company welfare policies: Annual periodic health check-ups; Specialized health insurance package (FPT Care – Free medical examination and treatment at all hospitals); Gratitude activities, caring for the spiritual life of employees and their relatives... • Friendly and open working environment. • Modern and convenient facilities and working tools. • Many opportunities for development and promotion. • Unique and vibrant corporate culture with many attractive activities: newcomers, teambuilding, thi trạng, village festivals, Comet festivals, FPT birthdays, March 8th, November 11th... • Enjoy preferential packages when using FPT Telecom services.
• Prioritize candidates who can onboard as soon as possible