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Salesforce

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4.1

based on 827 Reviews

108 Salesforce Jobs

Lead Data Scientist

Salesforce

4.1

based on 827 Reviews

7-10 years

Hyderabad / Secunderabad

1 vacancy

Lead Data Scientist

Salesforce

posted 10d ago

Job Role Insights

Flexible timing

Key skills for the job

Digital Marketing Data Science Computer Science Salesforce Python SQL

+ 3 more

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.

Qualifications

Experience and Education

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 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.

Why Join Us?

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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