Applied Data Scientist

Role overview

Join Cresta as an Applied Data Scientist on the Insights team. You’ll work with Product Managers, Machine Learning Engineers, and Data Scientists to build new capabilities that optimize customer interactions for high-impact enterprise customers.

Responsibilities

• Co-develop new capabilities with enterprise design partners using real workflows and constraints as a testbed.
• Plan and run short design-partner engagements: ship early versions, collect structured feedback, and iterate quickly.
• Generalize learnings from each partner into reusable, productized capabilities (not one-off bespoke models).
• Communicate effectively across the organization and stay close to the ML/AI research frontier.

Requirements

• Strong written and verbal communication, able to explain complex technical work to both engineers and non-technical partners.
• Comfortable with design-partner style engagements where requirements evolve and you co-create the solution.
• Track record building evaluation suites beyond single scalar metrics, covering reliability, safety, and qualitative user experience.
• Strong proficiency in Python and standard ML/data tooling (e.g., SQL, data pipelines, experiment frameworks).
• Ability to turn ambiguous product requests into clear problem statements, eval specs, metrics, and hypotheses.
• Experience working directly with customers or stakeholders: understand constraints, explain tradeoffs, and iterate.

Nice-to-haves

• 3+ years building and shipping models for real-world business applications, ideally in NLP and LLM-based systems.
• ML intuition and first-principles thinking.
• Experience with customer experience/contact center/enterprise SaaS analytics systems.
• Prior work on analytics/insights products (e.g., deep research, anomaly detection, customer experience analytics, voice of customer).
• Published work at ML/NLP conferences.

Remote policy

• Full remote.