Senior Data Scientist Position
1 settimana fa
We are seeking a highly skilled Senior Data Scientist to join our team at SAP Se. As a key member of our machine learning group, you will be responsible for developing and implementing innovative data-driven solutions that drive business value.
Your primary focus will be on designing and building advanced machine learning models using frameworks such as TensorFlow, PyTorch, and Keras to solve complex problems in natural language processing and sequential data analysis. You will also be responsible for collaborating with cross-functional teams to understand user needs and translate them into effective data-driven solutions.
To succeed in this role, you will need to have a strong background in data science, machine learning, and software development, as well as excellent communication and leadership skills. You will also need to be proficient in deploying scalable machine learning solutions in production environments, leveraging cloud platforms (AWS, Google Cloud, Azure) and technologies like Docker and Kubernetes for containerization and orchestration.
We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. If you are passionate about machine learning and data science, and are looking for a challenging and rewarding role, we encourage you to apply.
Responsibilities:
- Develop and implement advanced machine learning models using frameworks such as TensorFlow, PyTorch, and Keras
- Collaborate with cross-functional teams to understand user needs and translate them into effective data-driven solutions
- Deploy scalable machine learning solutions in production environments, leveraging cloud platforms (AWS, Google Cloud, Azure) and technologies like Docker and Kubernetes for containerization and orchestration
- Evaluate the effectiveness of user interactions and model performance continuously, iterating on feedback
- Engage in knowledge sharing and contribute to the team's collective learning and success
Requirements:
- PhD or equivalent experience in Computer Science, Statistics, Applied Mathematics, or a related field
- 4+ years of extensive experience in data science, machine learning, or a related role, with a distinguished record of innovative contributions and leadership in technology development
- Expertise in developing and training advanced machine learning models using frameworks such as TensorFlow, PyTorch, and Keras
- Proficiency in deploying scalable machine learning solutions in production environments, leveraging cloud platforms (AWS, Google Cloud, Azure) and technologies like Docker and Kubernetes for containerization and orchestration
- Strong background in designing and implementing deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models
- Skilled in performing efficient data preprocessing, feature engineering, and augmentation techniques to improve model performance and generalization on unseen data
Preferred:
- Proficient in utilizing big data processing frameworks such as Apache Spark and Hadoop for handling and analyzing large datasets
- Mastery of statistical analysis and predictive modeling techniques, applying rigorous validation methods (cross-validation, bootstrapping) to assess model reliability and performance
- Experience in implementing real-time inference systems, optimizing models for latency and throughput to meet the demands of live data processing and decision-making applications
- Familiarity with machine learning model monitoring and management practices, including version control, performance tracking, and updating models in response to drift in data patterns
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