Data Scientist Principle

A cloud-based software company specializing in customer relationship management and enterprise software solutions.
$223,000 - $323,400
Data
Principal Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Data Scientist Principle

Salesforce's Hyperforce Developer Experience team is seeking a Principal Data Scientist to join their innovative AI-powered developer productivity initiative. This role sits within a team dedicated to revolutionizing software development through AI-powered tools and solutions. The position focuses on enhancing developer productivity by leveraging generative AI and delivering best-in-class products at cloud scale.

The ideal candidate will be instrumental in analyzing large datasets, developing metrics, and creating data visualizations to drive improvements in developer productivity tools. They will work with cutting-edge AI technologies, collaborate with cross-functional teams, and help build highly scalable, secure, and intelligent services that form the foundation for all Salesforce developers.

Key objectives include accelerating development through automated code generation, improving code quality, fostering innovation, and streamlining workflows. The role involves working with state-of-the-art AI models, optimizing infrastructure for scalability, and ensuring high customer trust.

The position offers the opportunity to work on revolutionary projects like advanced code generation, intelligent code completion, and automated testing. The successful candidate will be part of a team that's shaping the future of software development, with a focus on creating user-friendly interfaces and building a unified IDE plugin for both internal and external Salesforce developers.

This is an excellent opportunity for a data science professional who is passionate about developer productivity, has strong analytical skills, and wants to make a significant impact in the field of AI-powered development tools. The role combines technical expertise with strategic thinking, requiring both strong technical skills and excellent communication abilities.

Last updated 5 days ago

Responsibilities For Data Scientist Principle

  • Analyze large datasets to identify trends, opportunities, and challenges
  • Develop and maintain reports and dashboards to track key metrics and KPIs
  • Create data visualizations to communicate insights and trends
  • Ensure data quality and integrity
  • Design and execute experiments and A/B tests
  • Collaborate with cross-functional teams
  • Participate in on-call rotation
  • Create and enforce processes for quality work
  • Develop and track metrics for AI tools impact

Requirements For Data Scientist Principle

Python
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 5+ years of experience in data analysis
  • Experience with data visualization tools and techniques
  • Proficiency in Python, R, or SQL
  • Experience with Tableau, Power BI, or D3.js
  • Knowledge of data manipulation and analysis techniques
  • Strong analytical skills with expertise in statistical modeling and machine learning
  • Excellent communication skills
  • Ability to work in a fast-paced environment

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