Middle Data Scientist at Qode

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analytics, Predictive Modeling, Statistical Techniques, Python, SQL, Data Quality Assessment, Anomaly Detection, Model Development, Performance Optimization, Cross-Functional Collaboration, Problem Solving, Communication Skills, Agile Practices, MLOps, Data Pipeline Design

Industry

Software Development

Description

As a Data Scientist, you will play a key role in bridging data science with business value by delivering high-impact solutions across diverse industries. You will work end-to-end—from gathering business requirements to developing models, evaluating outcomes, and roll-out scalable solutions while collaborating with cross-functional teams in a fast-paced, innovation-driven environment. Key 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. Required Skills & Qualifications: 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). Preferred: Knowledge or hand-on practices of MLOps practices Experience with data pipeline design and process automation. Ability to research and translate technical papers into practical implementations. Familiarity with agile delivery practices. Benefit 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.

Responsibilities

The Data Scientist will contribute to data science projects from requirements gathering to delivery, ensuring technical delivery aligns with business objectives. They will also conduct data analytics and predictive modeling while collaborating with cross-functional teams.