[HCM] Data Scientist (Middle, Senior level)

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:
Discovery and Strategy to Frame Technical Feasibility
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Your core responsibilities will be tailored to your level of seniority and finalized during the hiring process.
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.
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.
TECHNICAL PROFICIENCY:
Good problem-solving, with the ability to formulate business problems into technical requirements in a scientifically rigorous and effective manner.
Proven experience leading data science workstreams or projects, and mentoring junior data scientists.
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).
Capable of researching, reading publications, and translating research papers into functional code.
Strong proactive mindset and the ability to take full responsibility for project outcomes.
Ability to lead the communication of technical concepts and collaborate effectively with cross-functional teams.
Ability to engage with business stakeholders to gather domain knowledge and requirements, and to communicate timelines, results, and other relevant matters.
Familiarity with agile delivery practices is a plus.
BENEFIT:
Group benefit (Lunch support, Gasoline support).
Working days/week (From Monday to Friday).
2 days WFH/week (based on the team's decision).
Health, Social, and Unemployment Insurance (based on 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.