Data Scientist Santa Clara, CA

Forward Networks is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin—a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment. Our customers include global leaders such as Goldman Sachs, Pay Pal, S&P Global, IBM, and Dell, as well as fast‑growing enterprises and government agencies.

Forward Networks seeks a pragmatic, end‑to‑end Data Scientist who can operate across the full data lifecycle, from ingestion and modeling to product ionizing key data systems. This high‑impact, high‑agency role reports directly to the CTO.

• Collaborate closely with other teams (Sales, Finance, Product, Marketing, and more) to translate problems and needs into action‑oriented data solutions
• Design, build, and maintain data pipelines for reliable ingestion and transformation
• Rapidly prototype and iterate using AI coding tools to accelerate development and reduce toil
• Drive rigor and best practices, with a focus on data quality, consistency, and transparency
• Develop and deploy statistical models and machine learning, where appropriate
• Build clear, decision‑oriented visualizations and dashboards for stakeholders across multiple departments
• Own selected production data systems: selection, orchestration, monitoring, and tuning
• Communicate and shepherd key data results and analysis to executives

• Experience with B2B SaaS‑relevant data, including Salesforce and financial metrics
• Strong communication skills and ability to work effectively across multiple departments and stakeholder groups
• Ownership mindset and ability to deliver end‑to‑end outcomes independently; must be a “startup type”
• Demonstrated ability to design data pipelines and work with imperfect, evolving data sources
• Sharp attention to data quality, including validation, anomaly detection, and root‑cause analysis of inconsistencies
• Strong proficiency in Python and SQL; experience with modern data stack tools (e.g., dbt, Airflow, Spark, or equivalents, a plus)
• Experience with data visualization tools (e.g., Tableau, Looker, or similar)
• Some familiarity with infrastructure and related setup (databases, data warehouses, VMs)
• Knowledge of core machine learning concepts and when to apply them pragmatically

• Build a likelihood‑of‑close model for Salesforce opportunities, factoring in relevant metadata and history
• Create a framework and initial implementation for an executive operational dashboard, working with a broad set of teams
• Define, validate, and implement key SaaS product‑usage metrics

As we grow, you will, too, with the broad scope of a software startup.

Location:

Bay Area preferred (HQ in Santa Clara), but open to the right remote candidate.

Salary Range:
The base pay for this role is between $170,000 and $190,000. Base pay will depend on your skills, qualifications, experience, and location.

As set forth in Forward Networks’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.