Data Scientist

4 days ago

Manila, National Capital Region, Philippines Evismart Full time ₱2,000,000 - ₱2,500,000 per year

Location: [On-site, BGC, Taguig]

Employment Type: Full-time

Summary

We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and data analytics. The ideal candidate will be proficient in Python, experienced in working with large datasets, and capable of building predictive models that deliver actionable business insights. This role requires both strong technical expertise and the ability to communicate complex findings to diverse stakeholders.

Key Responsibilities
  • Collect, clean, and analyze structured and unstructured datasets from multiple sources.
  • Develop, train, and evaluate statistical and machine learning models to solve business problems.
  • Apply advanced analytics to uncover trends, patterns, and insights that inform decision-making.
  • Collaborate with engineering and product teams to deploy models into production environments.
  • Create clear visualizations, reports, and presentations to communicate results effectively to both technical and non-technical stakeholders.
Requirements
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field (PhD is a plus).
  • Proven experience in data analysis, feature engineering, and machine learning model development.
  • Proficiency in Python, SQL, and key data science libraries (Pandas, NumPy, Scikit-learn, etc.).
  • Strong foundation in statistics, hypothesis testing, and model evaluation techniques.
  • Familiarity with big data tools (Spark, Hadoop) and data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) is a strong plus.
  • Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment.
What We Offer
  • Opportunity to work on cutting-edge projects in data science and AI.
  • A collaborative, innovative, and growth-oriented work culture.
  • Competitive compensation and benefits package.
  • Professional development opportunities to advance your skills and career.

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