bi Data Scientist (hybrid) job at quantrics enterprises inc. in taytay, rizal | workbankQuantrics Enterprises, Inc.

Data Scientist
Are you ready to grow your career by taking on a new role at Bell? We always look for qualified internal applicants within our own team to support their development.
Bell's forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
As a Data Scientist on this team, you will support the development of statistical and machine learning models, working closely with machine learning engineers to launch these models at scale. You will work with exabytes of rich datasets to develop decision making models that provide recommendations for our customers.
Job Duties/Accountabilities:
Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
You have development experience with at least one general programming language (e.g. Python, C/C++, Java)
You have previous experience with ML frameworks (e.g. Scikit-learn, Keras, Tensorflow)
Drive the creation of machine learning algorithms in the areas of:
Customer Behaviour
Customer Segmentation and clustering
Mining and analyzing data from company databases to improve marketing, product development, or overall business strategies
Using predictive modeling to optimize revenue growth, marketing campaigns, and customer experiences
Developing A/B testing campaign frameworks and testing model quality
Communicating and coordinating with teams to implement data-driven strategies while measuring progress.
Critical Qualifications/Competencies:
ML technical expertise (frameworks and libraries):
GCP Vertex AI Platform
Python development skills
Experience with general ML/Data Science tools in Python: numpy, pandas, sklearn, jupyter etc
Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
Computer science fundamentals
Database: SQL, Hadoop
Theoretical Knowledge:
Advanced knowledge of ML models: deep learning, reinforcement learning, and others
Theoretical understanding of neural networks, backpropagation, and optimization algorithms with emphasis on mathematical understanding.
Mathematical understanding of some ML algorithms: regression, SVM, decision trees, etc...
Workbank

Taytay, Rizal
Permanent
Full-time