Senior Quantitative Analyst

2 days ago


Mandaue City, Central Visayas, Philippines beBeeData Full time $90,000 - $130,000

About Data Science Opportunities

We are seeking an experienced professional to join our team as a Data Analyst. As a Data Analyst, you will be responsible for data mining, data preparation, and reporting.

Key Responsibilities

  • Data mining, data preparation, and reporting
  • Prepare and conduct analyses and studies, needs/gaps assessments
  • Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed
  • Documents and summarizes the results and develops recommended solutions to the customer's problems
  • Prepares big data, implements data models developed by others, and provides database support for customer solutions
  • Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks

Requirements

  • Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related quantitative or mathematical discipline
  • Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline
  • Knowledge of data mining methods, databases, data visualization, and machine learning
  • Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA)
  • Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs

Preferred Experience and Skills

  • Expertise with Qlik
  • Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics
  • Experience with Hadoop, Spark or other parallel storage/computing processes

Benefits

  • Opportunity to work on challenging projects and develop your skills
  • Collaborative and dynamic work environment


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