Hybrid Mid Data Scientist

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About the role

  • Data Scientist delivering high-impact solutions by collaborating in fast-paced environments. Responsible for modeling, evaluating outcomes, and providing technical delivery aligned with business objectives.

Responsibilities

  • Contribute to data science projects from requirements gathering to delivery for internal and external stakeholders.
  • Propose solutions to business problems and ensure technical delivery aligns with business objectives.
  • Ensure data reliability and conduct data analytics and predictive modeling leveraging statistical and machine learning techniques, with continuous model validation, anomaly detection, and performance optimization to enhance the outcomes.
  • Coordinate with team members on project tasks and timelines.
  • Design and implement solutions including model development, deployment.
  • Support and collaborate with other Data Scientists and cross-function team members through knowledge sharing and code reviews.

Requirements

  • Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, AI, Engineering, or related field (Master's degree is a plus).
  • 3-4+ years of experience applying machine learning, data analytic, optimization, or statistics.
  • Skilled in data quality assessment, anomaly detection, to ensure reliable data-driven insights.
  • Proven hands-on experience in building, evaluating, and applying models for predictive modeling, time-series analysis, and data quality (e.g., anomaly detection).
  • Proficiency in Python and SQL with relevant data science libraries.
  • Capable of maintaining comprehensive project documentation, version control.
  • Strong problem-solving and communication skills to work with cross-functional teams and translate feedback into improvements.
  • Fluent in English (e.g. IELTS or TOEIC is preferred).

Benefits

  • 100% salary during probation
  • 05 working days/week (From Monday to Friday), applying flexible working hours
  • 2 days of remotely WFH per week (based on team's decision)
  • Lunch + Gasoline + Coffee Allowance
  • Health, Social and Unemployment Insurance (based on gross-based salary, according to Labor Code) and PVI Health Insurance
  • 13th-month salary and Performance bonus
  • Annual salary review
  • 12 days annual leave plus extra 02 days company leave
  • Company trips, sponsored team building, monthly Happy Hour, Sport Clubs (Soccer, Badminton, Pingpong, Yoga) and other joyful events;
  • A culture of relentless learning with free courses in specialized skills, soft skills, and English;
  • Yearly health-checkup;
  • Seniority benefits: allowance & PVI Health Insurances for family members
  • Technical-certificate bonus
  • Japanese-certificate bonus
  • Employee Referral Incentive
  • Candidates who can relocate to Ho Chi Minh City for work will receive company support for housing costs, airfare, and transportation.

Job title

Mid Data Scientist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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