Staff Data Scientist, Technical Lead – Full-Stack, Production ML

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $160k - $170k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Appriss Retail

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Appriss Retail is a company that specializes in providing solutions to prevent fraud and shrink in the retail industry. For over 25 years, they have been helping retailers protect their profits against fraudulent and abusive returns, claims, and appeasements. Their solutions, such as Appriss Secure, Appriss Engage, and Appriss Incident, use AI-based analytics and real-time transaction analysis to identify and resolve instances of shrink or margin erosion. Appriss Retail is trusted by over 60 of the top 100 U. S. retailers.

📋 Description

• Own end-to-end delivery of high-impact data science projects from ambiguous business request to production-ready system • Design and maintain data pipelines, data models, and governance standards • Build, evaluate, and iterate on ML models in production • Lead experimentation rigor, monitoring, and lifecycle management • Architect and ship LLM-integrated features and agentic workflows, including prompt engineering, tool use, and output evaluation • Guide cloud infrastructure architecture for data science projects with attention to performance, maintenance, and cost • Write production-grade Python and SQL, enforce code review practices, and maintain documentation • Partner with engineering to integrate models and pipelines into core product infrastructure • Translate ambiguous business problems into scoped analytical and modeling work with defined success criteria • Partner with product, engineering, and business stakeholders • Contribute to the data and analytics roadmap • Communicate technical findings and influence decisions with data and model outputs • Lead a small data science team as a player-coach • Set technical direction and mentor the team, with potential to grow into direct management • Report to the Director of Data Science • Travel up to 10% for training and conferences

🎯 Requirements

• 6+ years of experience in data science, data engineering, or a closely related technical discipline • 1+ year of formal technical lead experience over a team • Expert-level SQL and Python; production code, not just analysis scripts • Deep understanding of data infrastructure: pipelines, warehousing, data modeling, and source system behavior • Strong software engineering practices: version control, code review, testing, and CI/CD pipeline experience for a data or ML workload • Ability to scope and deliver complex analytical projects independently from vague inputs • Cloud data platform experience with Snowflake, Azure, AWS, or GCP • Working knowledge of infrastructure-as-code such as Terraform or CloudFormation • Containerization experience with Docker, ideally Kubernetes or a managed container service • Experience making and defending build-vs-buy or cost/latency tradeoffs on a production ML or data system • Familiarity with ML platform tooling such as MLflow, feature stores, or model registries • Required Master's degree or Bachelor's Degree in a technical, quantitative field • Preferred: proficiency with dbt, Airflow, Spark, or equivalent • Preferred: demonstrated LLM experience including prompt engineering, RAG, fine-tuning, or agent frameworks • Preferred: familiarity with agentic AI architectures including multi-step reasoning, tool use, memory, and orchestration • Preferred: experience in retail, fraud detection, or transaction-level data at scale

🏖️ Benefits

• Multiple medical plan options • Dental and vision coverage • Health savings and flexible spending accounts • Paid parental leave • Supplemental coverage for life’s unexpected moments • Generous paid time off • 401(k) with immediate vesting and company match • Short- and long-term disability • Free access to health and wellbeing resources such as Calm and Sworkit • Learning and development opportunities • 12–15% bonus in addition to base salary