Data Science Principal

Lead a small engineering team focused on growth.

Optimize the acquisition funnel from signup to checkout.

Deliver high-quality features with minimal guidance.

Participate in design reviews for team-wide technical solutions.

Highlight the importance of strong problem-solving skills.

Emphasize ownership and responsibility from day one.

Lead a growth engineering team with a focus on management and coding.

Own and optimize the lower funnel from flow start to checkout.

Collaborate across Agile teams for quality delivery.

Provide architectural guidance for scalable systems.

Rapidly ramp up as an IC for 90 days.

Model good work and provide technical leadership.

Bridge data and business needs.

Own end-to-end data initiatives.

Bridge data and business needs.

Translate requirements into scalable data models.

Design and build data flow systems.

Develop a unified data platform.

Manage the Salesforce partner data model comprehensively.

Implement partner data quality checks and governance.

Ensure data accuracy and reliability.

Collaborate with stakeholders on data issues.

Design and implement data products for analytics.

Transform raw data into actionable insights.

Deliver insights through analytics delivery.

Design and optimize data pipelines.

Lead a team to build a Customer Data Platform.

Collaborate with various teams for project planning.

Oversee insights from various data sources.

Design and optimize data pipelines.

Oversee analytics delivery for clients.

Build and maintain data pipelines.

Build and maintain data pipelines.

Ensure data quality and reliability.

Build and scale data pipelines.

Collaborate with Data Scientists.

Deliver insights through analytics delivery.

Design and optimize data pipelines.

Partner with teams for data-driven insights.

Develop scoring models for lead prioritization.

Lead a team to build a Customer Data Platform.

Collaborate with various teams for project planning.

Design and maintain scalable data pipelines.

Ensure data reliability, accuracy, and timeliness.

Lead and develop multiple data sub-teams.

Manage Data Lakehouse architecture and tooling decisions.

Oversee insights from various data sources.

Design and optimize data pipelines.

Oversee analytics delivery for clients.

Build and maintain data pipelines.

Build and maintain data pipelines.

Ensure data quality and reliability.

Deliver data solutions on AWS.

Migrate and optimize relational databases.

Develop and maintain data connectors.

Standardize diverse data formats.

Lead and develop data teams.

Manage and optimize Data Lakehouse architecture.

Ensure operational health of data platform.

Monitor and maintain ETLs and data pipelines.

Collaborate with product owners for Salesforce architecture.

Map CRM processes for system integration.

Build and scale data pipelines.

Collaborate with Data Scientists.

Collaborate with customers to build prototypes.

Work with AI Product Manager on demos.

Architect full-stack platforms for enterprise infrastructure.

Develop backend services and APIs for data management.

Develop analytical models for DERs.

Create dashboards and data pipelines.

Own the technical relationship with strategic customers.

Lead end-to-end evaluations and architect solutions.

Develop and maintain data analytics and MLOps solutions.

Collaborate with a distributed team on software engineering projects.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

Develop and enhance LLVM and Clang based toolchain components

Collaborate with LLVM community for continuous integration

Hiring experienced Compiler Engineers for LLVM and Clang toolchain development

Responsibilities include analyzing requirements, designing, and collaborating with the LLVM community

Enhance and maintain LLVM/Clang-based toolchains

Support and optimize code for diverse platforms

Conduct security testing on mobile and web applications

Identify and document vulnerabilities in digital banking platforms

Ensure security of mobile and web banking applications

Identify and document vulnerabilities through penetration testing

Enhance and implement LLVM toolchain components

Extend open source compilers for new platforms

Seek experienced Compiler Engineers for LLVM and Clang toolchain

Collaborate with LLVM community and contribute to public repositories

Enhance and implement components of the LLVM toolchain

Extend open source LLVM and Clang code bases

- Enhance and implement toolchain components - Extend LLVM and Clang for client platforms -

ate with LLVM community - Analyze, build, and debug platform code - Develop and maintain target

Develop cloud-based cyber protection solutions

Design and maintain high-load distributed services

Develop scalable cloud disaster recovery services

Design and implement high-load distributed systems

Drive customer experience automation

Optimize business processes with AI solutions