Note: The job is a remote job and is open to candidates in USA. Forward Networks is transforming how the world’s most complex networks are managed and secured. They are seeking a pragmatic, end-to-end Data Scientist who can operate across the full data lifecycle, from ingestion and modeling to productionizing key data systems.
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
Skills
- 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
- Knowledge of core machine learning concepts and when to apply them pragmatically
- Experience with B2B SaaS-relevant data, including Salesforce and financial metrics
- 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)
Company Overview
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