Data Scientist, Forward Networks
$170-190k
More information about location
Mathematically-accurate network modeling
Be an early applicant
Mathematically-accurate network modeling
201-500 employees
Be an early applicant
$170-190k
More information about location
201-500 employees
Company mission
To transform networks to be agile, predictable, and secure.
Role
Who you are
- 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
What the job involves
- 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
- 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
- Example Initial Projects:
- 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
Our take
The rapid flow of data from inside and outside organisations has rendered top-down planning difficult, and often ineffective, especially in an enterprise network setting. Forward Networks provides a solution by creating digital twins of a company's network architecture so planners and developers can see how their activities will affect operations across the entire network.
Although digital twinning is relatively new, there is already intense competition for this space. Forward Networks has carved out a unique niche in focusing on enterprise networks rather than the organisation as a whole, a focus which is needed given the complexity of modern hybrid networks which can span several cloud environments.
In 2023, Forward Networks completed a Series D funding round led by MSD Partners, with participation from Goldman Sachs, one of its long-term customers. This investment has supported the business in further developing its product, expand the services available to its customers, and scaling its core team.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
95% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2023
$50m
SERIES D
Oct 2019
$35m
SERIES C
Total funding: $112.5m
Company benefits
- We’re an agile team and early-stage company with plenty of opportunities to grow, as a company and as individuals.
- Every team member receives a compensation package that includes equity, so we can grow together.
- We offer top-grade insurance, with medical, dental, and vision benefits for you and your family.
- Vacations, holidays, family days. With no tracked time off, you can go as long as it’s okay with your manager.
Company HQ
Santa Clara, CA
Leadership
David Erickson
(Co-Founder & CEO)Was Director of Course Content and Instructor at SDN Academy, a Graduate Research Assistant at Stanford University and Member of Technical Staff at big switch networks.
Brandon Heller
(Co-Founder & CTO)Was Director of Course Content and Instructor at SDN Academy. Prior to that, they interned at Google, Hewlett-Packard and Emerson Motor Company.
Nikhil Handigol
(Co-Founder & Chief AI Officer)Was Director of Course Content and Instructor at SDN Academy, as well as a Member of Technical Staff at ON.Lab and Research Assistant at Stanford University.
Peyman Kazemian
(Co-Founder)Was Director of Course Content and Instructor at SDN Academy, and a Researcher and Teaching Assistant at Stanford University. Also in terned at Google and Ericsson.
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