Data Scientist
Nestle - Country Philippines
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified not verified - timestamp not recorded
- Non-birth-parent leave
- Not verified not verified - timestamp not recorded
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Public-company From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Scientist Country Philippines Main Purpose of the Job A Data Scientist utilizes his/her analytical, statistical, and programming skills to understand business questions and challenges across Nestlé. S/He then develops statistical and analytical models to address these challenges using diagnostic, prescriptive, and predictive techniques by collecting, analyzing, and interpreting large data sets. To build these models, s/he may engage scripting experts or perform scripting independently. S/He also formulates testing strategies and validates hypotheses in an effort to establish viable use cases, completing these phases using Agile methodologies. If the business case is proven, s/he collaborates with Solution Architects or Data Engineers to embed value-generating and successful models into operations and help design them as key components of industrialized solutions. S/He is also expected to drive analytical maturity by engaging executives and senior stakeholders and providing mission-critical insights to key business and internal stakeholders. Data Scientists should possess strong skills in data preparation, report writing, statistical modeling, visual exploration, and insights generation, and should continuously strive to assess the business value of every initiative. Key Outputs Contribution to IT Strategy by facilitating exploration through POC/POV and key initiatives. Articulates a vision and roadmap for the exploitation of data as a valued corporate asset in alignment with existing functional priorities
Read the full description at jobdetails.nestle.com. FewerJobs shows a preview and links to the original posting.
Apply link not verified; last-live date unavailable.
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