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94 Tableau Software Jobs

Data Scientist/Lead Data Scientist

5-9 years

Hyderabad / Secunderabad, Bangalore / Bengaluru

1 vacancy

Data Scientist/Lead Data Scientist

Tableau Software

posted 8d ago

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Data
Job Details
About Salesforce
.
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
  • 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.
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.

Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .
Salesforce welcomes all.

Employment Type: Full Time, Permanent

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