- Collect, clean, and analyze large datasets to identify patterns and insights.
- Communicate findings and recommendations to stakeholders in clear and concise manner.
- Collaborate with crossfunctional teams to integrate datadriven solutions into the organization's products and processes.
- Stay uptodate with industry trends and emerging technologies to continuously improve data analysis processes.
- Apply Natural Language Processing (NLP) techniques to analyze and extract insights from unstructured data sources, such as text, speech, and images.
- Develop and implement NLP models for tasks such as sentiment analysis, topic modeling, and named entity recognition.
- Communicate findings and recommendations to stakeholders in clear and concise manner.
- Collaborate with crossfunctional teams to integrate NLPdriven solutions into the organization's products and processes.
- Stay uptodate with industry trends and emerging NLP technologies to continuously improve NLP analysis processes.
- Bachelor's or Master's degree in statistics, maths, computer science, linguistics, or related field.
- Strong knowledge in SQL and Python.
- 1+ years of experience in data analysis, with a focus on predictive modeling. Good to have experience in NLP, with a focus on building NLP models. Expertise in NLP techniques, such as deep learning, and their applications.
- Excellent problemsolving and communication skills.
- Ability to work independently and as part of a team in a fastpaced environment.
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1916-Analytics Advisory Specialist
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Analytics Advisory Specialist - Muntinlupa, Pilipinas - Recruiter PH
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