Data Scientist Principle

About Hyperforce Developer Experience Engineering
Hyperforce Developer Experience is a team dedicated to enhancing developer productivity and experience by leveraging generative AI. We're focused on revolutionizing software development by delivering best-in-class products and ensuring high customer trust at cloud scale. By providing cutting-edge AI-powered tools and solutions, we aim to exceed customer expectations and establish a strong reputation for excellence. We build highly Scalable, Secure, Reliable, Easy-to-use, and Intelligent services that are the foundation for all developers at Salesforce to innovate with high quality and great agility.

We are looking for talented AI Software Engineers to join our team and build a cutting-edge AI platform to enhance developer productivity, offering features like advanced code generation, intelligent code completion, and automated testing. The ideal candidate will have a strong foundation in machine learning, deep learning, and software engineering. You'll work on state-of-the-art AI models, optimize infrastructure for scalability, and collaborate with cross-functional teams to deliver innovative solutions. Join us in shaping the future of software development and making a significant impact on developer productivity. The key objectives of this team are,

• Accelerate Development: Reduce development time and effort through automated code generation and intelligent suggestions.
• Improve Code Quality: Enhance code accuracy, readability, and maintainability with AI-powered tools.
• Foster Innovation: Empower developers to explore new ideas and experiment with cutting-edge technologies.
• Streamline Workflows: Automate repetitive tasks and streamline the development process.
• Enhance Data-Driven Insights: Gather, refine, and analyze data to optimize AI models and measure their impact.
• Create User-Friendly Interfaces: Design intuitive and user-friendly interfaces for AI-powered tools.
• Build a Unified IDE Plugin: Deliver a single, powerful plugin for both internal and external Salesforce developers.
• Advanced Code Generation: Empower developers with features like auto-completion, code generation, and unit test generation.
• Scalable Infrastructure: Build a robust infrastructure to handle massive workloads and support a growing user base.
• Cutting-Edge AI: Continuously innovate and explore advanced AI techniques to improve the quality and relevance of code suggestions.

The ideal candidate should have a strong background in data analysis and visualization, with experience in analyzing and reporting on large datasets. They should be able to develop and track metrics, create data visualizations, and provide insights and recommendations to stakeholders.

Responsibilities:

• Analyze large datasets to identify trends, opportunities, and challenges in the tools and AI-powered features.
• Develop and maintain reports and dashboards to track key metrics and KPIs.
• Develop and track metrics to measure the impact of AI tools on developer productivity and satisfaction.
• Collaborate with data scientists and product managers to develop and refine metrics
• Create data visualizations to communicate insights and trends to stakeholders.
• Use data visualization tools such as Tableau or D3.js to create interactive and dynamic reports.
• Ensure data quality and integrity by identifying and addressing data discrepancies and errors.
• Collaborate with data engineers to develop and implement data quality control processes.
• Develop and maintain regular reports to provide insights and recommendations to stakeholders.
• Collaborate with cross-functional teams to identify areas for improvement and provide data-driven insights.
• Design and execute experiments and A/B tests to measure the impact of AI-powered features on developer productivity and satisfaction.
• Analyze results and provide recommendations for future improvements.
• Eat, sleep, and breathe techniques in improving developer productivity. You have a knack for suggesting ideas to understand the developer's needs and provide creative solutions to improve the developer's productivity using AI tools
• Participate in the team’s on-call rotation to address complex problems in real time and keep services operational and highly available
• Create and enforce processes that ensure quality of work, and drive engineering excellence
• Exhibit a customer-first mentality while making decisions, and be responsible and accountable for the output of the team

Core Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data analysis, with a focus on analyzing and reporting on large datasets.
• Experience with data visualization tools and techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data analysis and visualization tools, including Tableau, Power BI, or D3.js.
• Knowledge of data manipulation and analysis techniques, including data mining and statistical analysis.
• Strong analytical skills with expertise in statistical modeling and machine learning techniques (e.g., regression analysis, classification, clustering).
• Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams (engineering, product management)
• Ability to work in a fast-paced environment, with a focus on delivering high-quality results under tight deadlines.