ForwardNetworks
Data Scientist
2mo ago
USASeniordata modelingmachine learningdata ingestionai
End-to-end Data Scientist role focusing on data lifecycle from ingestion to production, collaborating across teams to improve network reliability and AI operations.
Responsibilities
- 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
Requirements
- 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
Other
- 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, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward Networks customers realize an average of $14.2 million in annual benefits through improved efficiency and security.
- Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward Networks offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.
- Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data lifecycle, from ingestion and modeling to productionizing key data systems. This is a high-impact, high-agency, "help steer the ship" role which reports directly to the CTO. Modern AI-assisted development tools make this role possible, where the data scientist can now do real engineering, too.
- Build a likelihood-of-close model for Salesforce opportunities, which factors 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 range for this role is between $170,000 and $190,000. Base pay will depend on your skills, qualifications, experience, and location