Data Scientist

Responsibilities:

• Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.
• Utilize Python for data manipulation, analysis, and modeling tasks.
• Proficient in SQL for querying and analyzing large datasets.
• Experience with Docker and Kubernetes for containerization and orchestration of applications.
• Basic knowledge of PySpark for distributed computing and data processing.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Deploy machine learning models into production environments and ensure scalability and reliability.
• Preferably have experience working with Google Cloud Platform  services for data storage, processing, and deployment.

Qualifications:

• Bachelors degree in Computer Science, Statistics, Mathematics, or a related field. A Masters degree or PhD is preferred.
• 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.
• Proven experience in model development, evaluation, and deployment.
• Solid understanding of machine learning techniques and algorithms. 

Key Skills:

• Strong statistical and mathematical knowledge,
• Proficiency in programming languages like Python or R,
• Expertise in data wrangling and cleaning,
• Machine learning algorithms,
• Data visualization techniques,
• SQL for database interaction,
• Strong communication skills.