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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

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  • 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.

* Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences.

* A related degree required. A BS degree in a quantitative field (e.g., Computer Science, Economics, Physics); an advanced degree (MS, PhD) is a strong plus.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.