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Data Scientist (with Snowflake Experience) - Day Shift AU

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Onsite

Data Scientist (with Snowflake Experience) - Day Shift AU

Origo BPO (Phils) Limited, Inc.

Data Scientist (with Snowflake Experience) - Day Shift AU

Skills

Google Cloud PlatformSQL QueriesTableauPythonData ScienceData VisualizationPyTorchTensorFlowRSnowflakeData AnalysisMachine LearningAIAWSChange ManagementPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

25 August 2026

What they need


About the role

The Data Scientist is responsible for collecting, analyzing, and interpreting large and complex datasets to help the organization make data-driven decisions. This role will design predictive models, develop algorithms, and provide actionable insights that support strategic and operational goals.

Key responsibilities

  • Collect, clean, and preprocess structured and unstructured data from multiple sources.
  • Develop and implement statistical models, machine learning algorithms, and predictive analytics solutions.
  • Interpret data, analyze results, and generate insights that influence decision-making.
  • Create data visualizations, dashboards, and reports to effectively communicate findings to technical and non-technical stakeholders.
  • Collaborate with cross-functional teams (engineering, product, business) to translate business problems into data solutions.
  • Ensure data accuracy, integrity, and security while working with sensitive information.
  • Stay updated with industry trends, tools, and best practices in data science, machine learning, and AI.

**Key Qualifications & Skills:**

  • Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred).
  • Proven experience as a Data Scientist or in a similar role.
  • Proven commercial experience (2+ years) using Snowflake is required, including deployment, database change management, data connectors, building efficient ELT pipelines for large datasets, and data sharing techniques in a Snowflake context.
  • Strong proficiency in statistical tools and programming languages (Python, R, SQL).
  • Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn).
  • Familiarity with cloud platforms (AWS, GCP, Azure) is an advantage.
  • Excellent analytical, problem-solving, and communication skills.

Work experience required:

  • 3-5+ years working as a team member in delivery projects or initiatives leveraging Agile delivery practices, ideally with Product company experience.

  • Have experience of working within a complex, matrixed/helix model organization Formal Scrum

  • Master experience would be a bonus

  • An Agile certification would be a bonus

MS Office applications proficiency required / desired:

  • ****10/10



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