Data Strategist

2 days ago

Angeles City, Central Luzon, Philippines beBeeData Full time ₱120,000 - ₱150,000
Job Title: Data Specialist

Career Opportunities Ahead

A stimulating workplace where innovation and expertise meet.

Position Overview:

We are seeking a highly skilled Data Specialist to support U.S. Customs and Border Protection. As a Data Specialist, you will be responsible for robust data manipulation, large-scale infrastructure for data ingestion, and effective data visualization for custom client applications.

Key Responsibilities:
  • Responsible for data mining, data preparation, and reporting.
  • Prepare and conduct analyses and studies, needs assessments.
  • Apply knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
  • Document and summarize results and develop recommended solutions to customer problems.
  • Prepare big data, implement data models developed by others, and provide 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 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 analytical 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.
  • Ability to communicate analysis techniques, concepts, and products.
  • Ability to develop data-driven analysis and reports based on data visualizations and data models.
  • Strong SQL skills, and ability to identify issues with data.
  • Experience with Qlik, Tableau, and PowerBI tools.
  • Familiarity with Databricks or similar cloud-based distributed database technologies.
  • Understanding of database and database design.
  • Demonstrated experience with cleaning, managing, optimizing performance, and processing large volumes of data.
  • Demonstrated experience within an AWS environment.
  • Familiarity with industry best practices for software-hardware optimization when processing large sets of data.
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.

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