Strategic Data Scientist: Product Analytics & Growth

Leadout Capital

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

6 days ago
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Job summary

Leadout Capital is seeking a Data Scientist for The MeshMesh team, partnering with Product, Infrastructure, and Engineering to drive data-driven strategy for Salesforce customers. You’ll collaborate with senior leadership, build insights, instrument data assets, and ship data products and automated deployment pipelines to accelerate growth and adoption across the platform.

The role requires 5+ years in product analytics or data science, fluency in Python and SQL, and experience deploying models

Qualifications

  • 5+ years in product analytics or data science.
  • Analytical thinker who uses data to solve business problems.
  • Proficient in Python; expert in SQL.
  • End-to-end data development: model design, quality review, deployment.
  • Experience deploying data science models in a cloud environment.

Responsibilities

  • Partner with senior leadership to advise on objectives, roadmaps, growth goals, and retention strategies.
  • Produce insights by acquiring/cleaning data, building data models, and distributing findings.
  • Collaborate with data engineering and product engineering to instrument data assets that measure product success.
  • Own delivery with data/BI engineers, turning insights into data products (pipelines, dashboards).
  • Research, develop, and implement automated deployment pipelines for algorithms.
  • Evangelize data products that drive action or product improvement.
  • Help grow the data culture through learning sessions, new tools, and process improvements.

Skills

5+ years experience in product data/DS
Analytical thinker
Python
SQL
End-to-end data development
Cloud deployment
Data storytelling

Education

Relevant degree (CS/Math/Stats)

Tools

Spark
Presto
Hive

Job description

Leadout Capital is seeking a Data Scientist for The MeshMesh team, partnering with Product, Infrastructure, and Engineering to drive data-driven strategy for Salesforce customers. You’ll collaborate with senior leadership, build insights, instrument data assets, and ship data products and automated deployment pipelines to accelerate growth and adoption across the platform.

The role requires 5+ years in product analytics or data science, fluency in Python and SQL, and experience deploying models

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