Data Scientist

Location: San Francisco, Palo Alto, Los Angeles

Department: Engineering

Position Overview:

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.

Key Responsibilities:

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

Preferred Qualifications:

• 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

What HeyGen Offers:

• Competitive salary and benefits package
• Dynamic and inclusive work environment focused on innovation and creativity
• Opportunities for professional growth and skill development
• Collaborative culture that values teamwork and employee input
• Access to state-of-the-art technologies and tools

Salary Range
$170,000 – 220,000 annually
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us at HeyGen and be part of a team that's reshaping the world of visual storytelling!