RESPONSIBILITIES:
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.
JOB REQUIREMENTS:
- Bachelor&aposs or Master&aposs 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.
BENEFITS:
- Attractive annual income package (13 months&apos 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 trng, village festivals, Comet festivals, FPT birthdays, March 8th, November 11th...
- Enjoy preferential packages when using FPT Telecom services.
Contact via mail: [Confidential Information]
