Data Scientist/Lead Data Scientist

Global leader in CRM and enterprise cloud solutions, providing innovative software services to businesses worldwide.
Data
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

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 combines technical expertise with leadership responsibilities, focusing on developing complex AI solutions and mentoring team members. The position requires strong experience in machine learning, AI development, and software engineering practices. You'll work with cutting-edge technologies including LLMs and Generative AI frameworks, while leading cross-functional teams and establishing best practices. The role offers opportunities to work on transformative solutions with measurable business impact, alongside a talented team of professionals. Key responsibilities span from technical implementation to team leadership and operational excellence. The ideal candidate will have 3+ years of experience in data science, strong technical skills in Python, ML frameworks, and cloud platforms, combined with excellent communication and leadership abilities. This position is based in India (Bangalore or Hyderabad) and offers a collaborative environment focused on innovation and growth. Join Salesforce to be part of a culture that values technical excellence, innovation, and professional development while working on projects that directly impact business success.

Last updated 21 hours ago

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
  • Lead cross-functional discussions and align diverse viewpoints

Requirements For Data Scientist/Lead Data Scientist

Python
Kubernetes
  • 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 tools like 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
  • Work on cutting-edge AI and data science projects

Interested in this job?

Jobs Related To Salesforce Data Scientist/Lead Data Scientist

Specialist Solution Engineer - Tableau - DK (alt. NL)

Senior Solution Engineer position at Salesforce focusing on Tableau analytics platform, requiring 5+ years experience in data analytics and BI, based in Copenhagen or Amsterdam.

Specialist Solution Engineer - Tableau

Senior Solution Engineer position at Salesforce focusing on Tableau analytics platform, combining technical expertise with pre-sales consulting.

Senior Data Scientist

Senior Data Scientist role at Salesforce focusing on predictive modeling, data pipeline optimization, and team leadership in Indianapolis.

Senior Solution Engineer, Tableau

Senior Solution Engineer position at Salesforce focusing on Tableau analytics platform, combining technical expertise with customer-facing responsibilities in Tokyo, Japan.

Senior Solution Engineer - Tableau

Senior Solution Engineer position at Tableau/Salesforce in Tokyo, combining technical expertise in data visualization with customer-facing responsibilities.