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Hiring 1 people
3 years of experience
Dubai
Published 27/02/2025

Job Description

Data Processing & Management:

  • Develop and maintain scalable data processing pipelines for managing large datasets on both on-premise and cloud platforms (e.g., AWS).
  • Ensure data integrity, consistency, and accuracy through thorough validation and cleansing methods.

Data Analysis & Insights:

  • Continuously analyze data to uncover trends, patterns, and correlations within large datasets.

Generate actionable insights and communicate findings to stakeholders through clear and effective visualizations.

Model Development:

  • Build, test, and deploy predictive models using (deep) machine learning algorithms with frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • Continuously monitor and optimize models to enhance performance and accuracy.

Collaboration and Support:

  • Collaborate with data engineers, AI engineers, and software developers to understand data needs and provide technical assistance.
  • Promote effective communication and teamwork within the AI and data teams, as well as with other technical departments.

Security and Compliance:

  • Ensure secure and compliant data handling and processing by following best practices and meeting regulatory standards.
  • Perform regular audits and evaluations to detect and address security risks.

Continuous Improvement:

  • Identify opportunities to enhance data processing, analysis, and model development workflows.
  • Keep up-to-date with the latest trends and advancements in data science and AI.

Job Requirements:

  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. A higher degree is preferred.
  • At least 3-5 years of experience in data science, machine learning, or a related field.
  • Demonstrated expertise in processing and analyzing large datasets.
  • Solid experience in Python programming and using data manipulation libraries such as Pandas and NumPy.
  • Expertise in machine learning frameworks and tools, including TensorFlow, PyTorch, and Scikit-learn.
  • Strong analytical and problem-solving abilities with a keen, data-driven approach.
  • Exceptional communication skills, capable of translating complex data insights into clear explanations for non-technical stakeholders.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Apache Spark, Hadoop).
  • Strong attention to detail and a patient, systematic approach to data handling and analysis.

Preferred Qualifications:

  • Experience in fraud detection, recommendation systems, and customer behavior prediction.
  • Knowledge of data engineering and MLOps practices.
  • Awareness of best practices for data security in various environments.
  • Proficiency in data visualization tools such as Tableau and Power BI.

Skills

Data Science
Python

Benefits

  • A competitive salary package reflecting your skills, experience, and contributions.
  • Support with accommodation, meals, and working visa arrangements.
  • Holiday and New Year bonuses.
  • Provision of essential work equipment (MacBook/iPhone)
  • A professional, dynamic, and inclusive work environment.
  • Financial support for home visits twice a year.

Career

Company Info

freeC
Ho Chi Minh
101-300 employees

About

freeC is the Smart Recruiting Platform that leverages matching technology to actively connect hundred of thousand of employers and job seekers. The success of freeC is determined by our success in operating as a unified team. If you're interesting, ambitious, and eager to advance your career with us, explore our vacancies as below. We're excited to have you on board our ship to help us grow fast, deliver on our mission of actively connecting employers and job seekers around Vietnam

Working Address

Lầu 06, Tòa nhà BCONS TOWER II , Số 42/1, Đường Ung Văn Khiêm, Phường 25, Quận Bình Thạnh, TP. HCMView map