
Data Scientist
4 weeks ago
Join to apply for the Data Scientist - GCP Python, SQL (AU Media, WFH) role at ConnectOS
Data Scientist - GCP Python, SQL (AU Media, WFH)Join to apply for the Data Scientist - GCP Python, SQL (AU Media, WFH) role at ConnectOS
Description
Salary: P150,000 to P180,000 (Monthly Package)
Schedule: Monday – Friday (09:00 AM - 06:00 PM PHT)
What are we looking for?
- 5+ years in data science, with a strong foundation in machine learning, statistics, and data manipulation
- 2+ years in a leadership or team lead role
- Advanced proficiency in Python, R, and SQL
- Skilled with Tableau, Power BI, or Looker Studio
- Familiarity with ETL pipelines and data warehousing concepts
- Experience with Jupyter Notebooks, Git, and Agile workflows
- Excellent communication skills—you can explain complex insights to anyone
- Degree in Statistics, Data Science, Applied Math, or a related field
- BigQuery
- Google Colab
- Looker Studio
- Databricks
- Data modeling and database design, including partitioning strategies for large tables
- GCP security, monitoring, and maintenance
Salary: P150,000 to P180,000 (Monthly Package)
Schedule: Monday – Friday (09:00 AM - 06:00 PM PHT)
What are we looking for?
Skills Required
- 5+ years in data science, with a strong foundation in machine learning, statistics, and data manipulation
- 2+ years in a leadership or team lead role
- Advanced proficiency in Python, R, and SQL
- Skilled with Tableau, Power BI, or Looker Studio
- Familiarity with ETL pipelines and data warehousing concepts
- Experience with Jupyter Notebooks, Git, and Agile workflows
- Excellent communication skills—you can explain complex insights to anyone
- Degree in Statistics, Data Science, Applied Math, or a related field
- Google Cloud Platform (GCP) including:
- BigQuery
- Google Cloud Storage
- Vertex AI
- Google Colab
- Looker Studio
- Analytics 360, GA4, Google Tag Manager, Google Ad Manager
- Apache Airflow
- Databricks
- Data modeling and database design, including partitioning strategies for large tables
- GCP security, monitoring, and maintenance
We’re seeking an experienced data scientist to deliver that insight to us daily. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind as well. As you mine, interpret, and clean the data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the goal of realizing the data’s full potential. You will join a team of data specialists but will “slice and dice” data using your own methods, creating new visions for the future.
- Lead the development of predictive models and advanced analytics to uncover user behaviors and content trends
- Build and maintain scalable data pipelines, reporting tools, and dashboards
- Collaborate across editorial, marketing, and commercial teams to deliver data-driven strategies
- Champion A/B testing and experimentation frameworks to optimize content performance
- Contribute to the architecture and integrity of our data warehouse
- Conduct ad-hoc analysis and deliver actionable insights to non-technical stakeholders
- WFH
- Medical, Dental Coverage and Life insurance from day 1 of employment
- Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
- Competitive salary package and annual appraisal
- Financial Assistance Program
- Mandatory Government Benefits and 13th Month Pay
- Regular Company Events, Work Life Balance, and Career growth opportunities
ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.
Our client is Australia’s largest independent publishing business with over 100 brands reaching 4.3 million Australians every month, with over talented employees who are dedicated to serving their audiences, advertisers and customers. They have world-class print centers with an established client base across both newsprint and heat-set products. Their network includes 14 daily titles, such as The Canberra Times, Newcastle Herald, The Courier in Ballarat and The Examiner in Launceston.
#ConnectOSCareers #JoinConnectOS #ConnectOSTech
Equal Employment Statement
Employment decisions at ConnectOS will be conducted without consideration of factors such as age’, race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Media Production
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