Data Scientist

2 weeks ago


Makati City, National Capital Region, Philippines Global Coordination Center Limited Full time
Company Overview:

Join our dynamic team at Global Coordination Center -Globalco, a leading Chinese Business Process Outsourcing (BPO) company with a thriving presence in the Philippines. We specialize in providing innovative solutions to our clients, and we're seeking talented individuals to contribute to our continued success.

Position: Data Scientist (Python)
Location: Makati, Philippines
Working Hours: 8pm to 6am, Monday to Friday
Compensation: 60,000 per month

Benefits:
PHIL Health coverage
On-site working environment
Exciting opportunities for career growth
Trainings provided
Collaborative and inclusive workplace culture
13th-month pay

Responsibilities:

•Deep Learning and TensorFlow 2.0

•Design, develop, and implement machine learning models using TensorFlow 2.0 for various business applications.

•Stay up-to-date with the latest advancements in deep learning and integrate them into our data science workflows.

•Collaborate with cross-functional teams to identify opportunities for implementing deep learning solutions.

•Data Normalization

•Implement effective data preprocessing and normalization techniques to ensure high-quality input for machine learning models.

•Work closely with data engineers and other stakeholders to maintain and enhance data quality throughout the entire data pipeline.

•Optimize existing data normalization processes for scalability and efficiency.

•SQL Proficiency: Utilize SQL to extract, manipulate, and analyze large datasets from various sources.

•Collaborate with data engineering teams to design and optimize SQL queries for efficient data retrieval.

•Conduct data exploration and validation using SQL to support data science projects.

•Model Evaluation and Improvement: Develop metrics and frameworks for evaluating the performance of machine learning models.

•Continuously monitor and improve model performance through iterative testing and optimization.

•Collaborate with data engineers to deploy models into production environments.

•Communication and Collaboration: Communicate complex technical concepts and results to both technical and non-technical stakeholders.

•Collaborate effectively with cross-functional teams including data engineers, business analysts, and domain experts.

Qualifications:

•Data Scientist with expertise in TensorFlow 2.0, deep learning, data normalization, and a solid understanding of SQL to join our growing team.

•Master's or Ph.D. in Computer Science, Statistics, or a related field.

•Proven experience in developing and implementing machine learning models using TensorFlow 2.0.

•Strong understanding of deep learning concepts, architectures, and algorithms.

•Solid experience with data normalization techniques and best practices.

•Proficiency in SQL for data extraction, manipulation, and analysis.

•Excellent problem-solving and analytical skills.

•Strong communication and collaboration skills.

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