Salesforce is seeking a seasoned Data Scientist to join their world-class analytics and data science team to support growth marketing, product engagement, and scale data-driven decision making for Slack.
Requirements
- Expertise in SQL and a strong command of a statistical programming language like Python or R for data manipulation and analysis.
- Deep statistical knowledge and hands-on experience in experimental design (A/B testing, multivariate tests) and causal inference.
- Experience working with large-scale data technologies (e.g., Snowflake, Spark, Presto, Hive, Hadoop).
- Experience designing and implementing advanced data models with scalability and efficiency.
- Experience with data visualization tools (e.g., Tableau, Looker) and a track record of using data to tell a compelling story is a plus.
- Knowledge in Apache Airflow is a strong plus.
Responsibilities
- Define and develop data-driven custom audiences and segmentation strategies to maximize user engagement and campaign effectiveness for marketing channels like email, push notifications, and advertising/retargeting.
- Drive a culture of experimentation. Lead end-to-end A/B testing and experimentation initiatives, from ideation and framework design to thorough pre- and post-analysis.
- Partner closely with Product and Engineering teams to navigate complex data schemas, ensure data integrity, and establish clear KPIs to measure the effectiveness of marketing programs.
- Apply advanced data science techniques to analyze Slack product usage patterns, identifying what’s working, what’s not, and opportunities for improvement.
- Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups.
- Analyze and measure the impact of marketing channels on product engagement and conversion, translating complex data into actionable business insights.
- Establish/refine key input and output metrics, set aggressive targets with business teams, and support campaigns and experiences that deliver direct business impact.
Other
- 5+ years of experience in a Data Science role, with significant experience supporting Growth or Product Marketing teams.
- Proven ability to lead projects autonomously and collaborate effectively with cross-functional teams to influence product and marketing strategy.
- A solid understanding of marketing channels, user behavior, and key metrics related to tactics like email, push notifications, and paid media.
- Strong communication skills. Able to translate complex technical results into clear, actionable insights.
