Data Scientist, MTS

Salesforce is seeking a junior Data Scientist to join their Cloud Economics and Capacity Management (CECM) team. This role presents an exciting opportunity for an entry-level data scientist to work on critical infrastructure optimization problems while developing their skills in a supportive environment.

The position focuses on applying sophisticated data science techniques, including time series forecasting, statistical analysis, and LLM prompt engineering, to enhance Salesforce's global cloud infrastructure performance and cost-efficiency. As a member of the CECM team, you'll work alongside experienced professionals to develop predictive models and analyze infrastructure telemetry data.

The role offers significant learning opportunities through hands-on experience with real-world infrastructure challenges. You'll contribute to developing tools and dashboards that guide infrastructure planning and cloud cost optimization decisions. The position involves working with large-scale data systems, collaborating across teams, and applying machine learning techniques to solve complex problems.

Key technical requirements include proficiency in Python for data analysis, SQL knowledge, and a strong foundation in statistics and machine learning. The ideal candidate should demonstrate strong analytical thinking and communication skills, with an eagerness to learn and grow in a fast-paced environment.

Working at Salesforce comes with comprehensive benefits, including wellbeing reimbursement, parental leave, and fertility benefits. The company's commitment to employee development and work-life balance makes this an excellent opportunity for someone starting their data science career. The role is based in San Francisco, offering competitive compensation ranging from $137,100 to $188,600.