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Sports Marketing Software Services CO.,LTD

Data Scientist Python, Scikit-learn, XGBoost

Sports Marketing Software Services CO.,LTD

ITviec
Vietnam17 days ago$1k – $1.5k
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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.
Your Skills and Experience

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.
Why You'll Love Working Here
  • 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.).