Data Scientist Lead

Salesforce is a leading enterprise software company specializing in cloud-based CRM and business solutions.
$200,800 - $276,100
Data
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:
Experimentation Growth Analytics Manager/Sr. Manager

Lead data-driven experimentation and growth analytics initiatives to optimize customer acquisition, engagement, and retention across digital platforms.

Data Engineer III, Buyer Fraud

Senior Data Engineering role at Amazon focused on building large-scale data systems to prevent payment fraud and protect the marketplace.

Lead Data Engineer, Data Reliability

Lead Data Engineer position at Disney Entertainment focused on building and maintaining reliable data pipelines and observability systems, processing terabytes of data daily.

Staff Data Engineer

Staff Data Engineer position at NMI, leading data infrastructure initiatives using GCP and AWS, offering remote work from Poland with US hours and competitive compensation.

Sr Staff Data Visualization Engineer

Senior Staff Data Visualization Engineer position at GE Aerospace focusing on data visualization and analytics engineering.

Description For Data Scientist Lead

Hyperforce Developer Experience is a pioneering team at Salesforce focused on enhancing developer productivity through generative AI. The team builds highly scalable, secure, and intelligent services that form the foundation for Salesforce developers. This Data Scientist Lead role is crucial in analyzing and improving AI-powered developer tools and productivity features.

The position involves working with cutting-edge AI models and technologies to revolutionize software development practices. Key focus areas include accelerating development through automated code generation, improving code quality, fostering innovation, and streamlining workflows. The role requires expertise in data analysis, visualization, and machine learning to measure and enhance the impact of AI tools on developer productivity.

As a Data Scientist Lead, you'll be responsible for analyzing large datasets, developing metrics, creating visualizations, and providing strategic insights. You'll work closely with cross-functional teams, including data scientists and product managers, to drive improvements in developer tools and experiences. The role combines technical expertise with strategic thinking to enhance developer productivity at scale.

The ideal candidate should have a strong foundation in data science, excellent analytical skills, and the ability to communicate complex insights effectively. This is an opportunity to shape the future of software development at one of the world's leading enterprise software companies, working with state-of-the-art AI technologies and contributing to developer success across the Salesforce ecosystem.

Last updated 3 months ago

Responsibilities For Data Scientist Lead

  • Analyze large datasets to identify trends, opportunities, and challenges
  • 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
  • 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

Requirements For Data Scientist Lead

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 programming languages such as Python, R, or SQL
  • Experience with data analysis and visualization tools (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

Interested in this job?