Senior Data Scientist

Salesforce is seeking a Senior Data Scientist to join their team in a hybrid work environment. This role focuses on developing sophisticated statistical and machine learning models to enhance marketing effectiveness and ROI. The ideal candidate will have a strong background in data science, with expertise in Python, SQL, and various ML techniques.

The position requires a Master's degree in Computer Science, Engineering, or a related field, along with 2 years of relevant experience. You'll be working on cutting-edge projects involving marketing attribution models, causal inference, and uplift modeling. The role demands proficiency in multiple technical tools including Python, Pyspark, Hadoop, and cloud platforms.

As a Senior Data Scientist at Salesforce, you'll have the opportunity to work with cross-functional teams, design and implement experiments, and drive data-driven decision-making across the organization. The company offers competitive compensation ($151,800 - $227,700) and comprehensive benefits.

This is an excellent opportunity for a data scientist looking to make an impact at a leading enterprise SaaS company. You'll be part of a team that values innovation, collaboration, and continuous learning. The hybrid work arrangement offers flexibility while maintaining connection with the team.

Salesforce is committed to creating an inclusive workplace and offers equal opportunities to all candidates. The company provides comprehensive benefits and focuses on maintaining a diverse and equitable work environment. Join a company that not only leads in enterprise solutions but also prioritizes improving the state of the world through its business practices.