jobs in Distribuidora Dimak Ltda.

Kerja Sepenuh Masa, Data Scientist di Distribuidora Dimak Ltda. - Maukerja

Data Scientist

Distribuidora Dimak Ltda.

Undisclosed

Singapore

Kongsi
Simpan

Lokasi Kerja

  • Singapore Singapore

Penerangan Kerja

Tanggungjawab

Hiring: Data Scientist (Singapore)

We are currently seeking a talented and analytical Data Scientist to join our growing technology and analytics team in Singapore.

Position:

Data Scientist

Location:

Singapore

Job Type:
  • Full-Time
  • On-site / Hybrid Available
Responsibilities:
  • Analyze large and complex datasets to uncover actionable business insights
  • Develop predictive models, machine learning algorithms, and statistical solutions
  • Design and execute experiments, A/B testing, and advanced analytics projects
  • Collaborate with engineering, product, and business teams to solve real-world problems
  • Build and maintain data pipelines and machine learning workflows
  • Create dashboards, reports, and visualizations to communicate findings effectively
  • Deploy, monitor, and optimize machine learning models in production environments
  • Research and apply emerging data science techniques and technologies
Requirements:
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Strong proficiency in Python, R, SQL, and data analysis techniques
  • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar
  • Knowledge of statistical modeling, predictive analytics, and data mining
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud is preferred
  • Familiarity with data visualization tools such as Tableau, Power BI, or Looker
  • Strong analytical thinking, problem-solving, and communication skills
Benefits:
  • Competitive salary package
  • Performance-based bonuses
  • Medical and insurance coverage
  • Professional development and certification support
  • Exposure to cutting-edge AI, machine learning, and big data projects
  • Career advancement opportunities
  • Collaborative and innovation-driven work environment
How to Apply:

Please send your CV/Resume and a brief self-introduction to our recruitment team.

Join us and help transform data into intelligent insights that drive innovation, growth, and strategic decision-making!


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