Staff Data Scientist, Lifecycle Marketing

About the Role

Key Responsibilities

• Lead Growth Strategy: 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.
• Experimentation and Innovation: Drive a culture of experimentation by leading end-to-end A/B testing and experimentation initiatives, from ideation and framework design to thorough pre- and post-analysis.
• Collaborate and Analyze: Partner with Product and Engineering teams to navigate complex data schemas, ensure data integrity, and establish clear KPIs to measure marketing program effectiveness.
• Apply advanced data science techniques to analyze Slack product usage patterns, identify opportunities for improvement, and measure impact.
• Define and report key success metrics, communicating insights to leadership to enable decision making.
• Synthesize insights by analyzing and measuring the impact of marketing channels on product engagement and conversion, translating data into actionable business insights.
• Deliver results by establishing and refining key metrics, setting targets, and supporting campaigns that deliver business impact.
• Champion evidence-based decision-making by making data and insights accessible and scalable for stakeholders at all levels.

Requirements

• 5+ years of experience in a Data Science role supporting Growth or Product Marketing teams.
• Expertise in SQL and a strong command of a statistical programming language like Python or R.
• Deep statistical knowledge and hands-on experience in experimental design (A/B testing, multivariate tests) and causal inference.
• Proven ability to lead projects autonomously and collaborate with cross-functional teams to influence strategy.
• Understanding of marketing channels, user behavior, and key metrics related to email, push notifications, and paid media.
• Experience with data visualization tools (e.g., Tableau, Looker) and using data to tell a story is a plus.
• Experience working with large-scale data technologies (e.g., Snowflake, Spark, Presto, Hive, Hadoop). Knowledge of Apache Airflow is a strong plus.
• Strong communication skills, able to translate complex technical results into clear insights.
• Experience designing and implementing scalable, efficient data models.

Nice to Have

• Experience with data visualization tools such as Tableau or Looker.
• Knowledge of Apache Airflow.
• Experience working with large-scale data technologies like Snowflake, Spark, Presto, Hive, or Hadoop.

Qualifications

• Educational background is not explicitly specified, but extensive experience in data science roles is required.

Benefits & Perks

• Time off programs
• Medical, dental, vision, and mental health support
• Paid parental leave
• Life and disability insurance
• 401(k) plan
• Employee stock purchasing program
• Additional details available at https://www.salesforcebenefits.com