Sr. Data Scientist
Description For Sr. Data Scientist
Are you passionate about developing machine learning (ML) and deep learning (DL) models using large-scale data? Would you like to be involved in creating new businesses through data utilization by major global companies? Are you interested in deepening your skills by experiencing various real-world cases through participation in AWS ML and DL projects across diverse industries?
Amazon has been investing in machine learning for many years and continues to seek individuals who can lead in the ML/DL/AI domain. AWS Professional Services helps AWS customers accelerate their use of machine learning to solve business and operational challenges and promote innovation within their organizations. We pride ourselves on being Customer Obsession focused and walking alongside our customers toward their success.
As a Data Scientist, you will dive deep into data, conduct analysis, discover root causes, and provide advice on optimal analytical methods and model design and implementation. Through proof of concept implementations, you will support customers in achieving their business goals through data utilization. We are passionate about providing technical solutions to business problems and helping our customers set and exceed ambitious goals.
You will work with cutting-edge technologies in AI and machine learning, including:
- TensorFlow, Keras, PyTorch, and MXNet for deep learning
- Amazon SageMaker and Spark for machine learning
- Various AWS services, Git, Docker, and SQL tools
- Collaboration with AI/ML Consultants and ML Engineers
The role offers opportunities to:
- Work with diverse enterprise customers across industries
- Solve complex business challenges using advanced analytics
- Build and deploy production-grade ML/DL models
- Contribute to innovation in the AI/ML space
- Be part of AWS's growing professional services team
The ideal candidate will combine deep technical expertise with business acumen, able to communicate effectively with both technical teams and business stakeholders. This role offers excellent growth potential in the rapidly evolving field of machine learning and artificial intelligence, backed by Amazon's continued investment in these technologies.
Responsibilities For Sr. Data Scientist
- Understand customer business needs and provide solutions using AWS machine learning, deep learning, and AI services
- Support customers throughout ML/DL projects from initial needs assessment to model deployment
- Help customers build deep learning models using frameworks like TensorFlow, Keras, PyTorch, and MXNet
- Build machine learning models using Spark and Amazon SageMaker
- Collaborate with AI/ML Consultants and ML Engineers on data analysis, extraction, and normalization
- Work with various IT tools including AWS services, Git, Docker, and SQL
Requirements For Sr. Data Scientist
- Bachelor's degree in Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, or equivalent experience
- Experience as a machine learning engineer or data scientist with proven track record of building ML/DL models
- Track record of analyzing data and discovering hidden patterns
- Strong communication skills to work with various stakeholders
- Experience in data analysis and model building using Python or R
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