Salesforce Fall Intern - Strategic Data Science 

United States, California, San Francisco 

477971643

Fixed Term & Temporary

We are looking for a strategic data science intern from STEM majors at top universities with experience on the latest machine learning and AI development to help evolve our data-driven solutions. As a strategic data science intern, you will participate in the design, development, and production of advanced AI solutions. You will collaborate with colleagues from diverse technical background and learn the essentials of solving complex business challenges of our Customer Success organization.
Key Responsibilities:

• Collaborate with customer success, product, engineering, and sales teams to support the definition of KPIs and analytical approaches that address key business questions
• Assist in the design and development of machine learning models (e.g., classification, regression, NLP, or recommendation systems) under the guidance of senior data scientists
• Participate in the exploration of techniques for identifying at-risk customers, predicting churn, and evaluating the impact of product features and offerings
• Contribute to the development of recommendation engines and support research into collaborative filtering, content-based, and hybrid approaches
• Support data preprocessing, cleaning, and feature engineering tasks to prepare datasets for modeling and analysis
• Assist in monitoring model performance and analyzing key metrics such as accuracy, drift, and latency, as well as participate in A/B testing initiatives
• Work with the data science team in other orgs to translate business problems into data-driven solutions that align with organizational goals
• Present findings, visualizations, and insights to team members and stakeholders in a clear and concise manner

Role Requirements:

• Education: Currently pursuing a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field with strong academic track record(seniors preferred)
• Technical Proficiency: Experience with Python (or R) and ML frameworks (scikit-learn, TensorFlow, PyTorch)
• Business Acumen: Strong analytical mindset; able to translate model outputs into clear business recommendations
• Self-Starter: Thrives in ambiguous environments; able to iterate based on feedback

Preferred Qualifications:

• Experience: Hands-on internship experience in product, data science, or related entrepreneurial roles
• Communication & Influence: Excellent at distilling complex technical concepts for non-technical audiences

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to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For California-based roles, the base salary hiring range for this position is $55 to $55.