Staff / Principal Product Data Scientist
at Salesforce
California - San Francisco, New York - New York, Georgia - Atlanta, Washington - Seattle, staff, full time, USD 1,72,500–3,44,700 / year, 5+ years
seen 30d ago
- Causal inference
- Scala
- Hadoop
- Statistics
- SQL
- Apache Airflow
- R
- Presto
- Hive
- Experimentation
- Spark
- Python
- ML
About the role
Staff / Principal Product Data Scientist - Slack
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remote type
Office Tech-Flexible
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Data
Job Details
What you would do
* Establish strong partnerships with product stakeholders to identify opportunities, prioritize roadmaps, and implement execution excellence.
* Evangelize evidence-based decision-making by partnering with key leaders and driving the general accessibility of data and insights.
* Perform evidence-based evaluations of the most important drivers for increased adoption of Slack product capabilities.
* Build key success metric frameworks and self-serve reporting to monitor Slack product health.
* Prototype foundational data models and partner with Data Engineering functions to elevate these into canonical sources of truth.
* Contribute to the design and implementation of Slack's agentic data delivery platform.
* Quantitatively identify potential product opportunities to improve user experiences and unlock business value.
* Partner closely with Product Researchers to align roadmaps and collaborate on projects to answer complex questions.
What you should have
* 5+ years of experience in product data science in related tech industries.
* A consistent record of using data to drive product teams to achieve ambitious goals and influence company-level outcomes.
* Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala. Knowledge of workflow orchestration tools like Apache Airflow is highly desirable.
* Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving.
* Experience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms.
Read from salesforce.wd12.myworkdayjobs.com, last seen 5d ago.