# Data Scientist

**Company**: Forward Networks
**Location**: Santa Clara, CA
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Salary**: $170,000 - $190,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/forwardnetworks/jobs/7695301003
**Canonical**: https://yubhub.co/jobs/job_eb26af8f-c1a

## Description

We 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. This is a high-impact, high-agency 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.

**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

**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.

## Skills

### Required
- Python
- SQL
- data visualization
- machine learning
- data pipelines
- data quality

### Nice to have
- dbt
- Airflow
- Spark
- Tableau
- Looker