cresta
Applied Data Scientist
At a Glance
- Location
- Remote
- Work Regime
- remote
- Experience
- 3+ years
- Compensation
- d your family. Salary Range : $150,000–$200,000 & Offers Equity We have notic
- Department
- Product
- Posted
- 2026-02-12T17:53:09-05:00
Key Requirements
Required Skills
Domain Knowledge
- SaaS
Benefits & Perks
cludes equity and a comprehensive benefits package for you and your family. : $15
Requirements
building and shipping models for real-world business applications, ideally in NLP and LLM-based systems
and standard ML / data tooling (e.g., SQL, data pipelines, experiment frameworks)
World-class first principles thinking and ML intuition
Ability to turn ambiguous product asks into crisp problem statements, eval specs, metrics, and hypotheses
Experience working directly with customers or internal stakeholders to understand constraints, explain tradeoffs, and iterate on solutions
design-partner style engagements
Compensation & Benefits
We offer a comprehensive and people-first benefits package to support you at work and in life:
Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Responsibilities
Applied Data Scientist
team, you will help pioneer the next generation of Cresta features that power how enterprises understand and optimize every customer interaction.
You’ll partner directly with Product Managers, Machine Learning Engineers, other Data Scientists, and a set of strategic design-partner customers to solve their biggest challenges.
If you love working from first principles in a rapid iteration loop with customers - this is your chance to have an outsized impact on the customer experience industry.
Co-develop new capabilities with a small number of high-impact enterprise customers along with our product, engineering, and design teams; using their real workflows and constraints as your testbed
Plan and run short, focused design-partner engagements (days to weeks) where you ship early versions, collect structured feedback, and iterate quickly