Top 3 Reasons To Join Us
Working in one of the Best Places to Work
Hybrid working and Flexible working hours
13th-month salary and Performance bonus
The Job
ABOUT THE ROLE
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 understanding business requirements to developing models, evaluating outcomes, and deploying scalable solutions-while collaborating with cross-functional teams in a fast-paced, innovation-driven environment.
KEY RESPONSIBILITIES
Your core responsibilities will be tailored to your level of seniority and finalized during the hiring process.
- Discovery and Strategy to Frame Technical Feasibility.
- Solution Architecture & Design: Design robust, scalable, and innovative data science solutions while considering performance, maintainability, and business impact.
- Technical Leadership: Provide technical leadership on complex projects, oversee the work of junior and mid-level data scientists, and ensure best practices are followed.
- End-to-End Project Execution: Take ownership of data science projects and modules, from data collection and preparation to model development, evaluation, and MLOps.
- Communication & Storytelling: Effectively communicate complex analytical concepts and findings to both technical and non-technical stakeholders, translating insights into actionable business recommendations.
- Cross-functional Collaboration: Work closely with project managers, engineers, and business stakeholders to align data science efforts with business objectives.
- Stakeholder Management: Engage with senior stakeholders across the organization to understand business needs, present complex findings, and influence data-driven decision-making at a strategic level.
- Innovation & Research: Stay abreast of the latest advancements in data science, machine learning, and AI, exploring opportunities to integrate new technologies and methodologies.
- Mentorship & Coaching: Actively mentor and coach Data Scientists at all levels, fostering a culture of continuous learning and growth within the team.
Your Skills and Experience
QUALIFICATIONS & SKILLS
- Education: Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, AI, Engineering, or a highly related field is required. A Master's degree in any of the above disciplines is preferred.
- Experience: Possess at least 3 years of experience in one or more data science domains such as machine learning, deep learning, natural language processing (NLP), computer vision (CV), optimization, or statistics.
- Good problem-solving, with the ability to formulate business problems into technical requirements in a scientifically rigorous and effective manner.
- Proficient in English communication skills, especially when engaging with non-technical business stakeholders.
- Expert in Python and SQL along with relevant data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and the ability to write production-ready code.
- Advanced skills in version control (e.g. GitHub, GitLab, etc.) and data visualization.
- Experience with MLOps tools and practices (e.g., pretraining, model tuning, model packaging, CI/CD for ML, model monitoring, ML pipelines, etc.).
- Hands-on experience with cloud platforms (e.g., GCP, AWS, Azure) and containerization (e.g., Docker, Kubernetes).
Why You'll Love Working Here
BENEFIT:
- Group benefit (Lunch support, Gasoline support).
- Working days/week (From Monday to Friday).
- 2 days WFH/week.
- Health, Social, and Unemployment Insurance (based on full contractual salary, according to Labor Code) and PVI Health Insurance, yearly health-checkup.
- 13th-month salary and performance bonus.
- 12 days annual leave plus extra 02 days of company leave and national holiday leaves.
- Technical certificate fee support.
- Project allowance if any.
- Company trips, sponsored team building, monthly Happy Hour, Sports Clubs (Soccer, Badminton, Ping-Pong, Yoga), and other joyful events.