Remote Data Scientist (Solutions Engineering)

Description:

• Polar Analytics is seeking a Data Scientist for Solutions Engineering to help indie DTC brands compete and grow faster.
• The role involves architecting the semantic layer that transforms raw commerce data into actionable insights.
• Responsibilities include designing proofs of concept, leading implementations, and unlocking new use cases that feed into the product roadmap.
• The position requires building a unified data model that translates raw data into metrics and business logic for AI agents.
• The role has a significant impact from pre-sale to expansion, including driving $1M ARR per quarter and launching successful features monthly.
• The candidate will cultivate relationships with key stakeholders at enterprise accounts and partner with the Customer Success team to identify upsell opportunities.

Requirements:

• The ideal candidate should have a strong technical foundation, including the ability to write SQL and architect integrations.
• The candidate must thrive on direct customer interaction and be able to translate complex technical concepts into clear business value.
• A commitment to quality and the ability to ensure every implementation meets both timeline and excellence standards is essential.
• The candidate should seek a role where data, product, and revenue decisions intersect, with a desire for strategic influence.

Benefits:

• The position offers a choice-first work culture that focuses on impact.
• Employees receive 5 weeks of vacation.
• A competitive salary and equity are provided.
• The company supplies the latest MacBook for work purposes.
• There is a remote office upgrade budget available in the first year to create an optimal work environment.
• Private health insurance is offered based on the employee's location.
• Company-wide offsites are held every 6 months to align on vision and strengthen team bonds.