Data Scientist (with Snowflake Experience) - Day Shift AU
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Data Scientist (with Snowflake Experience) - Day Shift AU - Origo BPO | Career Page
Data Scientist (with Snowflake Experience) - Day Shift AU
Angeles City, Pampanga, Philippines
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Job Openings Data Scientist (with Snowflake Experience) - Day Shift AU
About the job Data Scientist (with Snowflake Experience) - Day Shift AU
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
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Master's 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
- Have 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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- X (Formerly Twitter)
Skills
- Snowflake
- Machine Learning
- ELT
- Python
- R
- SQL
- TensorFlow
- PyTorch
- scikit-learn
- Tableau
- Power BI
- Matplotlib
- Seaborn
- AWS
- GCP
- Azure
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