Data Scientist

4 days ago

Makati City, National Capital Region, Philippines Strategic Staffing Solutions Full time ₱60,000 - ₱180,000 per year

STRATEGIC STAFFING SOLUTIONS (S3)

Position
: Data Scientist

Work Set-Up
: Hybrid-2x per week onsite.

Location:
Ayala, Makati City

Schedule:
Morning/Mid Shift

JOB DESCRIPTION:

Develop financial models and analytics that deliver novel analysis and insights, automating manual data cleansing activities, and leveraging advanced statistical methods to validate business questions and hypotheses

KEY RESPONSIBILITIES:

  • Perform text, quantitative, statistical, financial and operational analysis, identifying trends, patterns, and anomalies that impact financial performance
  • Design and implement data pipelines to automate the collection, cleaning, and processing of financial data from various sources
  • Parse, cleanse and manipulate large amounts of structured and unstructured data for analysis; perform QA testing to ensure accurate results
  • Collaborate with business to review data sources, data inconsistencies, and business logic for initiating data discovery
  • Delve into complex data from systems to discover hidden relationships and relevant insights

QUALIFICATIONS:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Finance, Economics or a closely related field.
  • 3+ years of progressive experience in data science, advanced analytics or quantitative research.
  • Demonstrated track record of developing and productionizing statistical and machine-learning models in an enterprise setting.
  • Experience in Python or R and ML frameworks (scikit-learn, TensorFlow/PyTorch), with practical exposure to generative AI/GenAI.
  • Strong SQL skills; experience integrating with financial systems and ERPs (SAP, Oracle) via APIs.

Preferred Experience:

  • Familiarity with Azure services (Synapse, Databricks, ML Studio), Spark, and containerization (Docker).
  • Experience integrating with financial systems and ERPs (SAP, Oracle), or other financial data sources.
  • Expert at slicing/dicing financial and operational metrics to uncover trends and anomalies.
  • Relevant certifications a plus (e.g. Azure Data Engineer, Microsoft Certified: Azure AI Engineer, Certified Analytics Professional, CFA Level I).

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