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Data Scientist

Forward Networks

full-remotemidpermanentdata Full remote - Santa Clara, CA, US 3 days ago via WTTJ

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Tags

Data SciencePythonSQLMachine LearningData PipelinesData QualityAnomaly DetectionTableauLookerB2B SaaS Data

About the role

Data Scientist (Full Remote)

Role overview

You will work with cross-functional teams to turn business problems into actionable data solutions. You’ll design and maintain data pipelines, build statistical/ML models, and communicate insights through clear visualizations to stakeholders and executives.

Key missions

  • Collaborate with cross-functional teams to translate business problems into data solutions.
  • Design, build, and maintain data pipelines to support reliable ingestion and transformation, and drive data quality best practices.
  • Develop and deploy statistical models and machine learning algorithms, and communicate results to executive stakeholders.

Responsibilities

  • Report directly to the CTO.
  • Deliver end-to-end data outcomes independently with an ownership mindset.

Requirements

  • Strong communication skills and ability to work effectively across departments and stakeholder groups.
  • Attention to data quality: validation, anomaly detection, and root-cause analysis of inconsistencies.
  • Ability to design pipelines for imperfect, evolving data sources.
  • Proficiency in Python and SQL.
  • Experience with data visualization tools such as Tableau or Looker.
  • Some familiarity with infrastructure and setup (databases, data warehouses, VMs).
  • Understanding of core machine learning concepts and practical application.

Nice-to-haves

  • Experience with modern data stack tools such as dbt, Airflow, Spark (or equivalents).
  • Experience with B2B SaaS-relevant data, including Salesforce and financial metrics.

Remote policy

  • Full remote (listed with Santa Clara, CA, US).

About Forward Networks

Forward Networks is a technology company focused on building data-driven solutions. The role indicates a collaborative, fast-moving environment where data scientists work across teams to translate business needs into actionable analytics, pipelines, and machine learning models.

Scraped 5/16/2026

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