Data Scientist Principle
Description For Data Scientist Principle
Salesforce's Hyperforce Developer Experience team is seeking a Principal Data Scientist to join their innovative AI-focused division. This role is central to enhancing developer productivity through AI-powered solutions. The position combines data science expertise with software engineering to build cutting-edge AI platforms for code generation, completion, and automated testing.
The team's mission focuses on revolutionizing software development by leveraging generative AI to deliver best-in-class products while maintaining high customer trust at cloud scale. Key objectives include accelerating development through automated code generation, improving code quality, and streamlining developer workflows.
As a Principal Data Scientist, you'll be responsible for analyzing large datasets, developing metrics, and creating impactful visualizations to drive decision-making. You'll work with state-of-the-art AI models and collaborate across teams to optimize infrastructure and deliver innovative solutions.
The role requires expertise in data analysis, visualization, and machine learning, with a focus on measuring and improving developer productivity. You'll be instrumental in designing experiments, conducting A/B tests, and providing data-driven insights to enhance AI-powered features.
This position offers the opportunity to shape the future of software development at a leading enterprise software company, working with cutting-edge AI technology while making a significant impact on developer productivity and satisfaction.
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
- Participate in on-call rotation
- Create and enforce processes that ensure quality of work
- Collaborate with cross-functional teams
- Develop and track metrics to measure AI tools impact
- Provide insights and recommendations to stakeholders
Requirements For Data Scientist Principle
- 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 programming languages like 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
