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Urgent Middle/Senior Data Scientist

MTI TECHNOLOGY · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
CNTT - Phần mềm
Mức lương
Thương lượng
Địa điểm
Not Available, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • 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

Yêu cầu

  • 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.

Quyền lợi

  • 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.
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