Data Scientist
Forward Networks
full-remotemidpermanentdata Full remote - Santa Clara, CA, US 3 days ago via WTTJ
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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