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ITviec

Data Scientist Python, Scikit-learn, XGBoost
Sports Marketing Software Services CO.,LTD
Vietnam17 days ago$1k – $1.5k
Job Description
Top 3 Reasons To Join Us
Attractive salary and bonuses
Sports Facilities
Premium Healthcare.
The Job
About the Role
We are looking for a Data Scientist to design and optimize real-time predictive systems operating on event-driven data streams.
This role focuses on time-dependent modeling, live inference, and continuous model adaptation in dynamic environments. You will work on systems that require low-latency predictions and robust sequential evaluation frameworks.
Key Responsibilities
- Develop and maintain predictive models for real-time, event-based data streams.
- Design time-dependent and sequential modeling frameworks.
- Build probability-based forecasting models under dynamic conditions.
- Develop validation strategies for live and non-stationary data.
- Optimize models for low-latency inference in streaming environments.
- Monitor performance drift and implement continuous improvement strategies.
- Collaborate on model deployment and production integration.
- Research and experiment with advanced modeling techniques for dynamic systems.
Required Skills
- 3+ years experience in Data Science or predictive modeling roles.
- Strong foundation in probability theory, statistics, and time-series analysis.
- Experience with sequential or event-driven datasets.
- Strong Python skills (Scikit-learn, XGBoost, or similar).
- Experience designing model evaluation frameworks for temporal data.
- Understanding of real-time inference systems and production deployment.
- Strong problem-solving and system-thinking mindset.
Nice to Have
- Experience with time-to-event modeling or survival analysis.
- Familiarity with online learning or adaptive models.
- Experience with deep learning (e.g., RNN, LSTM, Transformers).
- Experience working with streaming systems.
- Familiarity with MLOps and model monitoring tools.
- Bonus: details on interview day.
- 13th month salary: 2 months
- Lunch at the company
- Working days: 5 days/week
- Transportation or gas subsidy available
- Compulsory insurance
- Accident and health insurance
- Annual health check
- Travel once a year
- Drinks, Snacks & Meals.
- Rewards & Recognitions (Performance bonus, employee awards, salary review, etc.).
- Sports Facilities (Gym, swimming pool, football court, etc.)
- Team-building Activities (Outing trip, annual staff party, sports event, etc.).
Benefits
- Bonus: details on interview day.
- 13th month salary: 2 months
- Lunch at the company
- Working days: 5 days/week
- Transportation or gas subsidy available
- Compulsory insurance
- Accident and health insurance
- Annual health check
- Travel once a year
- Drinks, Snacks & Meals.
- Rewards & Recognitions (Performance bonus, employee awards, salary review, etc.).
- Sports Facilities (Gym, swimming pool, football court, etc.)
- Team-building Activities (Outing trip, annual staff party, sports event, etc.).