Employment type in the employer’s posting: Full timeFrom the employer’s posting
- Entrepreneurial mind-set -- enthusiasm, commitment, and business savvy to navigate potential technical, and organizational roadblocks that may emerge. - SQL skill is a must. Python would be a bonus. - General Knowledge on the following
- General Statistical Modeling Techniques (i.e. Regression, K-means segmentation, forecasting, etc.) - General know how on data management programming languages (SQL, R, Python, etc) - General Datawarehousing and Data Modeling concepts (Fact & Dimension tables, Slowly Changing Dimensions (SCD), etc.)
- General Relational Database Concepts - General Data Visualization, Data Storytelling, and tool know-how (Tableau, PowerBI, Qlickview, AWS Quicksight, etc.) - General Statistical Modeling Techniques (i.e. Regression, K-means segmentation, forecasting, etc.)
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 7 and day 57.
At Globe International, jobs usually come down by about day 26.
From 10,789 similar postings that came down, and 11 of Globe International’s. Coming down is not always a hire.
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!
We are looking for:
Highly skilled in influencing and engaging stakeholders to secure their buy-in and support.
Strong business acumen, to effectively identify the value of Data and AI in the business context.
Must understand the key operational metrics of their assigned business unit, and their impact on profit and loss,revenue, customer retention, and so on.
General technical fluency – understanding in quantitative analytics and structured problem solving.
May have a formal STEM (science, technology, engineering, and mathematics) background or self-taught knowledge in a STEM field.
A mastery of process-management skills -- should be able to direct an analytics initiative from ideation through production and adoption and understand the life cycle of an analytics initiative and the common pitfalls.
Entrepreneurial mind-set -- enthusiasm, commitment, and business savvy to navigate potential technical, and organizational roadblocks that may emerge.
SQL skill is a must. Python would be a bonus.
General Knowledge on the following
General Relational Database Concepts
General Data Visualization, Data Storytelling, and tool know-how (Tableau, PowerBI, Qlickview, AWS Quicksight, etc.)
General Statistical Modeling Techniques (i.e. Regression, K-means segmentation, forecasting, etc.)
General know how on data management programming languages (SQL, R, Python, etc)
General Datawarehousing and Data Modeling concepts (Fact & Dimension tables, Slowly Changing Dimensions (SCD), etc.)
What We Offer
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package
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