Senior Data Scientist, Advanced Analytics
Aboitiz Equity Ventures, Inc.
Taguig, Metro Manila, Philippines
9d ago
source : Kalibrr, Inc.

Job Description

The Senior Data Scientist, Advanced Analytics is responsible for applying data science principles in solving a range of business problems.

This includes problem analysis and management to identify growth and improvement opportunities through data. Key responsibilities include data exploration, feature engineering, and machine learning modeling.

As a Senior Data Scientist, this position will be a key interface between the AEV Tech Group Data Science Team and all analytics teams across all business units.

The role involves conducting research and analysis centered on using data science techniques to either evaluate existing solutions, or craft proof of concept works.

Key Responsiblities Include :

  • Being one of the key ambassadors for data science in the whole organization by identifying potential business problems
  • Collaborating across all potential stakeholders to understand technology and business constraints. This includes a network with domain experts to understand their business mechanics from a data science perspective.
  • Understanding new and existing data sources and process pipelines and cataloging / documenting them.
  • Applying statistical analysis and visualization methods, and generating hypotheses about underlying mechanics of business processes.
  • Applying various Machine Learning and advanced analytics techniques while integrating domain knowledge into the Machine Learning solution.
  • Training peers, specialists, other business, and IT staff about data science principles.
  • Minimum Qualifications

  • Must have a Bachelor's or a Master's Degree in Computer Science, Data Dcience, Operations Research, Statistics, Applied Mathematics, or a related quantitative field is required
  • Alternate experience and education in equivalent areas such as Economics, Engineering, or Physics is acceptable.
  • Candidates with a specialization in ML, AI, Cognitive Science or Data Science is preferred
  • Candidates must have five or more years of relevant project experience in successfully launching, planning, and executing data science projects, preferably in the domains of manufacturing, customer behavior, quality assessments, and demand forecasting
  • A specialization in text analytics, image recognition, graph analysis, complexity analysis, geospatial analysis, or other specialized ML techniques is preferred
  • Ideally adept in agile methodologies and well-versed in applying DevOps / MLOps methods
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