
Data Scientist
2 days ago
STRATEGIC STAFFING SOLUTIONS (S3)
Position
: Data Scientist
Work Set-Up
: Hybrid-2x per week onsite.
Location:
Ayala, Makati City
Schedule:
TBD
Role 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:
o Perform text, quantitative, statistical, financial and operational analysis, identifying trends, patterns, and anomalies that impact financial performance
o Design and implement data pipelines to automate the collection, cleaning, and processing of financial data from various sources
o Parse, cleanse and manipulate large amounts of structured and unstructured data for analysis; perform QA testing to ensure accurate results
o Collaborate with business to review data sources, data inconsistencies, and business logic for initiating data discovery
o Delve into complex data from systems to discover hidden relationships and relevant insights
Qualifications:
o Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Finance, Economics or a closely related field.
o 3+ years of progressive experience in data science, advanced analytics or quantitative research.
o Demonstrated track record of developing and productionizing statistical and machine-learning models in an enterprise setting.
o Experience in Python or R and ML frameworks (scikit-learn, TensorFlow/PyTorch), with practical exposure to generative AI/GenAI.
o Strong SQL skills; experience integrating with financial systems and ERPs (SAP, Oracle) via APIs.
Preferred Experience:
o Familiarity with Azure services (Synapse, Databricks, ML Studio), Spark, and containerization (Docker).
o Experience integrating with financial systems and ERPs (SAP, Oracle), or other financial data sources.
o Expert at slicing/dicing financial and operational metrics to uncover trends and anomalies.
o Relevant certifications a plus (e.g. Azure Data Engineer, Microsoft Certified: Azure AI Engineer, Certified Analytics Professional, CFA Level I).
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