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90 Salesforce Jobs
Data Scientist/Lead Data Scientist
5-10 years
Hyderabad / Secunderabad, Bangalore / Bengaluru
1 vacancy
Data Scientist/Lead Data Scientist
Salesforce
posted 3d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As a Lead Data Scientist, you will own the development of complex AI solutions, driving innovation and scaling data science products that are critical to Salesforce Customer s success. You will serve as a thought leader, pushing boundaries while collaborating across teams.
Key Responsibilities Machine Learning and AI Development
- 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 for both structured and unstructured data.
- Leverage leading libraries like TensorFlow, PyTorch, and Hugging Face for experimentation and production.
- Write clean, maintainable, and highly optimized code while following advanced Git workflows like Gitflow.
- Build and optimize machine learning pipelines with tools like AWS SageMaker, Airflow, or Prefect.
- Deployment and tracking of real time and batch models
- Containerize applications using Docker and deploy them to cloud platforms.
- Implement robust CI/CD pipelines for seamless machine learning deployments.
- Design and optimize SQL queries and database schemas for efficient data retrieval.
- Develop and manage scalable feature engineering pipelines.
- Architect scalable, fault-tolerant machine learning systems.
- Drive engineering excellence through best practices in clean, modular code and system design.
Team Leadership
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Establish and enforce standards and best practices for data science workflows.
- Influence stakeholders beyond the data science team, driving organizational alignment on DS/ML standards.
Operational Excellence
- Establish and maintain streamlined, scalable processes for data science solution development.
- Align with company standards to ensure consistency and scalability in AI deployments.
Business Impact
- Collaborate with stakeholders to define problems, metrics, and data-driven solutions.
- Translate complex technical insights into actionable business strategies that deliver measurable value.
Experience and Education
- 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 a related field (or equivalent experience).
Technical Expertise
- 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, including version control, code optimization, modular design, and testing methodologies.
- Experience with tools like Docker, AWS SageMaker, and Airflow for pipeline optimization.
- 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.
Soft Skills
- Craft detailed design documents and technical white papers.
- Translate technical concepts into business-friendly language.
- Lead cross-functional discussions and align diverse viewpoints.
- Deliver polished presentations to senior stakeholders.
- Exhibit exceptional problem-solving and leadership abilities.
- Work on cutting-edge AI and data science projects with a measurable business impact.
- Collaborate with a talented and passionate team of professionals.
- Grow professionally with access to modern tools, technologies, and resources.
- Be part of a culture that values innovation, collaboration, and growth.
Employment Type: Full Time, Permanent
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What people at Salesforce are saying
Lead Data Scientist salary at Salesforce
reported by
4
employees
with 7-10
years exp.
₹37
L/yr - ₹54
L/yr
47%
more
than the average Lead Data Scientist Salary in India
View more details
What Salesforce employees are saying about work life
based on 834 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Salesforce Benefits
View more benefits
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