Senior Data Analyst

2 weeks ago

Imus, Calabarzon, Philippines beBeeData Full time $120,000 - $190,000
Unlock the Power of Data Science

Career opportunities await.

Role Overview:

As a seasoned data scientist, you will leverage advanced statistical analysis, complex data mining, and artificial intelligence techniques to extract actionable insights from vast datasets. Your consulting expertise will be pivotal in transforming raw data into concise and impactful recommendations.

You will design and implement data-driven solutions, focusing on sophisticated analytical methods, data models, and visualizations. Quantitative simulations and predictive analytics will enable you to provide descriptive and prescriptive solution recommendations. Identifying trends and problems through intricate big data analysis will be a cornerstone of your responsibilities.

Maintaining current knowledge of emerging tools and techniques in machine learning, statistical modeling, and analytics is crucial for success in this role.

Essential Skills and Qualifications:
  • At least six years of 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.
  • A minimum of three years of direct experience in machine learning is highly desirable.
  • An advanced degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline is preferred.
  • Demonstrated proficiency in data mining methods, databases, data visualization, and machine learning is essential.
  • The ability to communicate complex analysis techniques, concepts, and products effectively is vital.
Benefits and Opportunities:
  • Familiarity with cloud-based distributed database technologies such as Databricks or similar platforms.
  • Experience with PySpark and Python programming languages.
  • The ability to develop complex SQL queries to extract, transform, and load data efficiently.
  • Proficiency in implementing various analytic techniques, including Anomaly detection, Clustering, and Time-series analysis (e.g., ARIMA).
  • Knowledge of NLP concepts, including preprocessing, TF-IDF, Named Entity Recognition, and LLMs.

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