Data Scientist/Lead Data Scientist
Description For Data Scientist/Lead Data Scientist
Salesforce is seeking a Lead Data Scientist to drive innovation and scale critical data science products. This role offers an exciting opportunity to work on cutting-edge AI and machine learning solutions while leading and mentoring a team of data scientists. The position requires expertise in implementing state-of-the-art models, including LLMs and Generative AI frameworks, along with strong technical skills in Python, ML frameworks, and cloud platforms. As a thought leader, you'll be responsible for establishing best practices, driving engineering excellence, and delivering measurable business impact. The role combines technical expertise with leadership responsibilities, requiring both strong coding skills and the ability to mentor junior team members. You'll work in a collaborative environment with access to modern tools and technologies, while helping shape the future of AI solutions at Salesforce. The position offers professional growth opportunities and the chance to work on transformative projects that directly impact customer success.
Responsibilities For Data Scientist/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
- Build and optimize machine learning pipelines
- 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 Data Scientist/Lead Data Scientist
- 3+ 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
- 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 Data Scientist/Lead Data Scientist
- Access to modern tools, technologies, and resources
- Professional growth opportunities
- Collaborative work environment
