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2649-2656 of 11255Appriss Retail
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About Appriss Retail
Appriss Retail is the total retail loss solution for omnichannel, unifying high-quality data across stores, online, and customer ser-vice to reduce returns, cut shrink, and manage incidents. Our products—Engage to reduce returns, Secure to cut shrink, and Incident to centralize visibility—help retailers move from reactive loss control to strategic profit protection. Together, they empower organizations to make better operations decisions, strengthen accountability, and put hundreds of millions back to the bottom line. Covering 40% of all U.S. transactions and active in 45 countries, Appriss Retail is trusted by 60+ of the top 100 U.S. retailers to deliver lasting performance improvement. Learn more at apprissretail.com.
Overview
We are looking for a player-coach who leads a small, high-output data science team while staying deeply hands-on. This role owns the full scope of data science at Appriss Retail — data engineering, governance, and production model delivery — not just model building. The right candidate has built and shipped realdataplatforms andAI/ML systems using a modern stack, has meaningful experience with LLMs and agentic architectures, and canoperatecredibly in both the technical weeds and the business conversation.
As a Staff Data Scientist / Technical Lead (Full-Stack / Production ML), you would set technical direction for the team and have the opportunity to grow into direct management over time. This is a full-stack role, not a model-building role with a handoff. If your last few projects ended when you handed a notebook or a trained model to a data engineering or ML engineering team to put into production, this probably isn’t the right fit.
Essential Duties
Technical leadership & delivery
Strategy & stakeholders
Required Qualifications
Experience
Technical skills — required
Required Education
Preferred Qualifications
Interview Process / What to Expect
In addition to a technical deep-dive on your modeling skills, the interview process includes a system design conversation where you’ll walk through how you’d architect, deploy, and operate a model or pipeline in production — including infra and cost tradeoffs.
Benefits
At Appriss Retail, we offer a competitive and comprehensive benefits package designed to support your well-being at work and beyond. Benefits begin on your first day and include multiple medical plan options, dental and vision coverage, health savings and flexible spending accounts, paid parental leave, and supplemental coverage for life’s unexpected moments. We offer generous paid time off, a 401(k) with immediate vesting and company match, short- and long-term disability, and free access to health and wellbeing resources such as Calm and Sworkit. You’ll also have access to learning and development opportunities to help you grow your career. Our benefits support your well-being so you can perform your best in every part of life.
Reports to: Director of Data Science
Department: Data Science
Supervisory Duties: Not immediately, though sets technical direction and mentors the team (who report to the Director), with the opportunity to grow into direct management over time.
Travel Required: Yes, up to 10% for training and conferences
Location/Work Region: Remote - United States
This job is eligible for a 12-15% bonus in addition to the base salary.
We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected characteristics.
Originally posted on Himalayas
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