Lead Data Scientist

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Do you have a passion for leveraging AI and machine learning to create transformative solutions? We are seeking a Lead Data Scientist to drive innovation, scale critical data science products, and set new standards in AI excellence. As a thought leader in the team, you will play a pivotal role in mentoring peers, advancing AI capabilities, and delivering measurable business impact.

Role

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.

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.