Lead Data Scientist - Technical Curriculum Development at Databricks

Job Code: CSQ125R119

Location: Preference for candidates from specific locations, but open to other regions.

About the Role

Join Databricks as a Lead Data Scientist in Technical Curriculum Development, harnessing your expertise in machine learning to craft leading-edge enablement content. Your mission is to empower global customers, partners, and colleagues by showcasing the revolutionary machine learning features of the Databricks Data Intelligence Platform.

This is your chance to stay updated on the latest Databricks advancements and be a pivotal figure in enabling the effective use of our Data Intelligence Platform worldwide. You'll collaborate with product and engineering teams, subject-matter experts, and global stakeholders to convert product updates and best practices into high-impact, technical enablement materials for instructor-led, self-paced, and blended learning experiences.

Daily Responsibilities

• Act as the go-to expert for machine learning enablement at Databricks.
• Engage regularly in SME and product meetings.
• Collaborate with the learning architecture team to comprehend business requirements for machine learning content.
• Design scalable learning solutions for the machine learning portfolio.
• Work with a global team including product managers, engineers, subject-matter experts, and other curriculum developers to build the content.

Key Impact Areas

• Serve as the trusted advisor/owner of machine learning enablement at Databricks.
• Provide technical leadership to guide curriculum initiatives on machine learning.
• Collaborate with subject-matter experts and learning architects to create machine learning enablement material for global customers, partners, and employees.

Qualifications

• A passion for sharing knowledge and expertise to enable others.
• 3+ years of hands-on industry experience in machine learning in roles such as:
  • ML Engineer: Experience with building and maintaining production-grade cloud infrastructure (AWS/Azure/GCP), including deployment of ML applications and drift monitoring.
  • Data Scientist: Proficiency with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs using tools like HuggingFace, Langchain, and OpenAI.
• Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience.
• Experience in communicating and/or teaching technical concepts to both non-technical and technical audiences.
• A passion for collaboration, lifelong learning, and driving business value through machine learning.
• Preferred: Experience with Apache Spark to process large-scale distributed databases.

Benefits

Databricks offers a comprehensive benefits package including:

• Comprehensive health coverage (medical, dental, and vision).
• 401(k) Plan.
• Equity awards.
• Flexible time off.
• Paid parental leave.
• Family planning support.
• Gym reimbursement.
• Annual personal development fund.
• Employee Assistance Program (EAP).

Pay Range Transparency

Databricks is committed to equitable compensation practices. The base salary range for this role is $104,400—$184,700 USD, which may vary based on factors such as job-related skills, experience, certifications, and location. The total compensation package may also include performance bonuses and equity.

About Databricks

Databricks is the leading data and AI company, empowering over 10,000 organizations worldwide, including Comcast, Condé Nast, and Grammarly, to unify their data, analytics, and AI efforts. Founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow, Databricks is headquartered in San Francisco and operates globally.

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