Lead Data Scientist
Description For Lead Data Scientist
Salesforce is seeking a Lead Data Scientist to drive innovation and scale critical data science products. This role combines technical expertise in AI/ML with leadership responsibilities, focusing on developing complex AI solutions that are crucial to Salesforce's customer success. The position requires expertise in machine learning, AI development, and team leadership, with opportunities to work on cutting-edge projects. The ideal candidate will have 5+ years of experience, strong technical skills in Python, ML frameworks, and cloud platforms, combined with excellent leadership and communication abilities. This role offers the chance to work with modern technologies, lead innovative projects, and make a significant impact while collaborating with talented professionals in a growth-oriented culture.
Responsibilities For Lead Data Scientist
- Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks
- Perform model optimization for performance, scalability, and accuracy
- Implement advanced feature engineering techniques
- Write clean, maintainable, and highly optimized code
- Build and optimize machine learning pipelines
- Deployment and tracking of real time and batch models
- Mentor and guide junior data scientists
- Establish and enforce standards and best practices
- Translate complex technical insights into actionable business strategies
- Collaborate with stakeholders to define problems, metrics, and data-driven solutions
Requirements For Lead Data Scientist
- 5+ years of experience in data science, including deploying AI/ML products at scale
- Bachelor's or Master's degree in Mathematics, Computer Science, or related field
- Mastery of Python for data manipulation, machine learning, and software development
- Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn
- Knowledge of software engineering principles and best practices
- Experience with Docker, AWS SageMaker, and Airflow
- Proficiency in SQL, Spark, and ETL processes
- Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases
- Hands-on experience with cloud platforms like AWS
Benefits For Lead Data Scientist
- Access to modern tools and technologies
- Professional growth opportunities
- Collaborative work environment
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