ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
Appriss Retail
The Data Science Manager at Appriss Retail leads a small, high-output team while remaining hands‑on in building and shipping data platforms and AI/ML systems. This role owns end‑to‑end data science delivery, including data engineering, governance, production model deployment, and LLM‑integrated features, and works closely with product, engineering, and business stakeholders to translate ambiguous problems into production‑ready solutions.
Headquarters
Irvine, California, United States
Company Size
51-200 employees
Founded
1999
Appriss Retail is a loss-prevention and profit-protection company that helps retailers reduce shrink from theft and fraud while preserving the customer experience. It delivers data-driven, real-time intelligence and software solutions that detect suspicious activity, prioritize investigations, and strengthen point-of-sale and online safeguards. Retailers use Appriss Retail to cut losses, recover revenue, and streamline loss-prevention workflows across stores and channels. The company combines analytics and operational integrations to turn retail data into actionable protection and higher profitability.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Appriss Retail.
13% below the average for this role