Data Scientist (with Snowflake Experience) - Day Shift AU

Origo BPO (Phils) Limited, Inc.; Mabalacat; On-site; PHP 900,000 - 1,600,000; Full time

Job summary

Origo BPO (Phils) Limited, Inc. is seeking a Data Scientist to collect, analyze, and interpret large datasets, design predictive models, and deliver actionable insights for strategic and operational decisions.

The role requires 3–5+ years in delivery projects with Agile practices, hands-on ML frameworks, SQL, Python/R, and data visualization tools. You will collaborate with cross-functional teams to translate business problems into data solutions.

Qualifications

• 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.
• 2+ years commercial experience with Snowflake, including ELT pipelines and data sharing in Snowflake context.
• Strong proficiency in 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.

Responsibilities

• Collect, clean, and preprocess data from multiple sources.
• Develop and implement statistical models, ML algorithms, and predictive analytics solutions.
• Interpret data, analyze results, and generate insights for decision-making.
• Create data visualizations, dashboards, and reports for stakeholders.
• Collaborate with cross-functional teams to translate business problems into data solutions.
• Ensure data accuracy, integrity, and security with sensitive information.
• Stay updated with industry trends, tools, and best practices in data science and AI.

Skills

Python

R

SQL

TensorFlow

PyTorch

Scikit-learn

Snowflake

Tableau

Power BI

matplotlib

seaborn

AWS/GCP/Azure

Education

Bachelor's degree in Data Science/CS/Statistics/Math

Master's degree preferred

Tools

Snowflake

Tableau

Power BI

TensorFlow

PyTorch

Scikit-learn

matplotlib

seaborn

Job description

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