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# Data Scientist

- **Company:** HeyGen Technology Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $170,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Software as a Service, Data Infrastructure, Python (Programming Language), SQL Databases, Usage Analysis, Scripting, Information Technology
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/fd76744c-3e6f-4f3e-8ed6-9fe95f34816d

## About the Role

* Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Business Analytics or related field)
 * 3+ years of relevant work experience in Data Science, Business Intelligence, Product Analytics, or a related function
 * Expert in SQL and proficiency in at least one scripting language (R or Python)
 * Defined, implemented, and operationalized new feature and product-level metrics from scratch
 * Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives
 * Excellent problem-solving skills and ability to work in a collaborative team environment

## Description

We're looking for a talented, curious, driven, and self-starting data scientist to join our team. The ideal candidate is a critical thinker familiar with SaaS products and metrics, has a strong background in statistics and data modeling, can clearly communicate complex concepts to a variety of audiences, and is excited to partner with engineering to implement the data infrastructure and stack for a rapidly growing startup. This is a highly dynamic, fast-paced environment where you'll be trusted with real ownership - from defining our data stack to shaping how insights guide our product roadmap.

You'll help lay the foundation of our data culture, working across engineering, product, and business teams to ensure data drives decisions at every level., Data Tooling & Culture

 * Play a critical role in defining and setting up our data and experimentation stack
 * Partner with engineering to ensure our data is clean, scalable, and usable, considering real-world deployment constraints
 * Create and champion best practices to create a data-driven culture

Product Analytics & Insights

 * Analyze large, complex datasets to uncover patterns, trends, and insights to inform product and business decisions
 * Help define the product roadmap through analysis of the user journey, user behaviors, and product trends
 * Design, launch, and analyze A/B tests or data-led product features
 * Partner with product teams and leadership to define new metrics and make prioritization decisions

Business Intelligence & Visualizations

 * Build and maintain production-quality dashboards so that team members can access product and business metrics, in a self-serve way
 * Ensure BI tools are dependable and up-to-date
 * Translate complex analyses into simple, visual stories that drive alignment and action.

Collaboration and Communication

 * Collaborate with cross-functional teams to define and refine model requirements
 * Communicate findings and insights effectively to both technical and non-technical stakeholders
 * Share findings with the rest of the company, helping drive better decision making across marketing, sales, and product teams


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