Salesforce

Staff Product Data Scientist - Slack

Salesforce$172K — $260K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in data science or quantitative analysis, with a track record of managing senior technical contributors.
  • Advanced degree in a quantitative field such as Mathematics, Economics, or Engineering is preferred.
  • Proficient in a data science programming language like Python or R, with the capacity to establish technical standards for the team.
  • Experience with large-scale data technologies and AI tools; familiarity with orchestration tools like Apache Airflow is a plus.
  • Strong skills in executive communication, adept at conveying complex analyses to senior stakeholders.
  • Proven ability to collaborate cross-functionally and influence decision-making across a large organization.
  • Experience in designing scalable data pipelines and instrumentation in collaboration with Data Engineering teams.

Responsibilities

  • Lead and mentor a high-impact team of Product Data Scientists while fostering career development and technical excellence.
  • Align data science initiatives with product strategy and business outcomes through clear priorities and expectations.
  • Partner with cross-functional teams (Product, Design, Engineering) to integrate data science into product lifecycle.
  • Utilize advanced analytical techniques to assess product usage and identify opportunities for growth.
  • Drive evidence-based analyses to discern product engagement and long-term success factors.
  • Define and standardize product success metrics, ensuring clear communication of insights to leadership.
  • Lead the establishment of best practices for experimentation and causal analysis within the product data science team.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Mental health support and paid parental leave.
  • Life and disability insurance benefits.
  • 401(k) retirement plan options.
  • Employee stock purchasing program for long-term investment.
Full Job Description
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

We are looking for a seasoned Data Science Expert to help build a world-class data science analytics platform that supports and scales data-driven product decision-making. As a Staff Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You'll partner with Product, Design, and Engineering (PDE) to contribute directly to product development-shaping what we build, how we measure success, and when/how we iterate and improve.

What you will be doing
  • Apply advanced data science techniques to analyze Slack product usage patterns, identifying what's working, what's not, and opportunities for improvement.
  • Conduct evidence-based evaluations to determine key drivers of Slack's product growth.
  • Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups.
  • 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.

What you should have
  • 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.
  • Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus.
  • 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 communication skills. Able to translate complex technical results into clear, actionable insights.
  • Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels.
  • Experience designing and implementing advanced data models with scalability and efficiency.
  • Experienced in applying advanced quant measurement techniques in a product development environment


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