Salesforce is looking to build a world-class data science and analytics platform that supports and scales executive-level, data-driven product decision-making.
Requirements
- Expertise in at least one programming language for data science (e.g., Python, R).
- Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop).
- Expertise in Apache Airflow is a strong plus.
- Strong statistical and machine learning knowledge, with experience building descriptive and predictive models.
- Expertise in DS measurement methodologies, with the ability to translate technical data into meaningful takeaways for non-technical stakeholders.
- Experience designing advanced data pipelines and schemas for scalability and efficiency.
- A related technical degree required; an advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus.
Responsibilities
- Apply advanced data science techniques to scale DS executions across Slack data science and data org.
- Conduct evidence-based evaluations to determine key drivers of Slack’s product growth.
- Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success.
- Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations.
- Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels.
- Design advanced data pipelines and schemas for scalability and efficiency.
- Build descriptive and predictive models using strong statistical and machine learning knowledge.
Other
- 12+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.
- Strong executive communication skills, with the ability to translate complex data into clear, actionable insights.
- Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels in a large corporate environment.
- A related technical degree required; an advanced degree (MS, PhD) in a quantitative field is a strong plus.
- Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
