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Wiraa

Data Scientist

This role is for a Data Scientist focused on e-commerce, requiring SQL proficiency and experience with Shopify data. It is a permanent, remote position with a competitive pay rate. Key skills include data modeling, technical consulting, and strong communication abilities.
🌎 Country
United States
🏝️ Location
Remote
📄 Contract
Full-time
🪜 Seniority
Associate
💰 Range
Unknown
💱 Currency
$ USD
💸 Pay
Unknown
🗓️ Discovered
August 30, 2025
📍 Location detailed
United States
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🧠 Skills
#Shopify
Role description
About The Company Polar Analytics is a leading all-in-one data platform designed specifically for consumer brands, particularly direct-to-consumer (DTC) companies. The company aims to simplify complex data processes, enabling brands to make smarter and faster decisions without the need for traditional, cumbersome tools. By leveraging modern technology, Polar Analytics provides powerful yet user-friendly insights that help brands scale profitably and compete effectively in the eCommerce space. With a mission to empower indie DTC brands to grow faster and more sustainably, Polar Analytics has rapidly expanded its client base, now supporting over 4,000 active merchants and aiming to reach 10,000 within the year. The company is backed by top-tier investors, including Frst, Point9, and Chalfen Ventures, and boasts a team of eCommerce experts dedicated to building industry-leading solutions. About The Role The Solutions Engineer at Polar Analytics plays a pivotal role at the intersection of technology, sales, and customer success. This position involves architecting the semantic layer that transforms raw commerce data from platforms like Shopify, advertising channels, and retention tools into meaningful, actionable insights. The Solutions Engineer will design proofs of concept to accelerate sales, lead implementation projects to deliver value within weeks, and identify new use cases that influence the product roadmap. This role requires a blend of technical expertise and strategic thinking, as it directly impacts customer retention, lifetime value, and overall growth. The successful candidate will own the technical aspects of high-value deals, build strong relationships with enterprise clients, and collaborate closely with product teams to develop features aligned with customer needs. The role offers an opportunity to influence company direction while working in a high-leverage, ownership-driven environment. Qualifications • Proficiency in SQL and experience with data modeling and architecture • Strong understanding of integrations between various data sources and platforms • Experience working with eCommerce data, especially Shopify and advertising channels • Excellent problem-solving skills and technical troubleshooting abilities • Ability to translate complex technical concepts into clear business value • Strong communication and interpersonal skills for customer interaction • Experience in a solutions engineering, technical consulting, or similar role is preferred • Familiarity with SaaS products and the modern data stack • Ability to work collaboratively in a fast-paced, high-impact environment • Prior experience working with enterprise clients is a plus Responsibilities • Architect and maintain the semantic layer that converts raw commerce data into standardized, actionable insights • Design and deliver proofs of concept to demonstrate product value and accelerate sales cycles • Lead technical implementations for new clients, ensuring delivery within tight timelines and quality standards • Build and nurture deep technical relationships with key stakeholders at enterprise accounts • Collaborate with the product team to translate customer feedback into new features and improvements • Partner with Customer Success to identify upsell opportunities and resolve technical challenges • Contribute to the development of scalable, repeatable processes for onboarding and implementation • Support sales efforts by providing technical expertise during demos and negotiations • Stay updated on industry trends and emerging technologies to continuously improve solutions Benefits • Choice-First Work Culture focused on impact and results • Five weeks of paid vacation annually • Competitive salary and equity options • Latest MacBook and equipment to support optimal remote work setup • Annual budget for remote office upgrades to enhance your work environment • Private health insurance coverage based on your location • Company-wide offsites every six months to foster team bonding and strategic alignment Equal Opportunity Polar Analytics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other legally protected status. We believe that diverse teams drive innovation and are essential to our success.