Senior Data Science Engineer, Data Science & Analytics

🕒 April 16

🏢🏡 San Francisco – Hybrid

💵 $125k - $165k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Simbe Robotics

WebsiteLinkedInAll Job Openings

11 - 50 employees

🛒 Retail

🤖 Artificial Intelligence

☁️ SaaS

💰 Convertible Note on 2022-07

Retail • Artificial Intelligence • SaaS

Simbe Robotics is a retail technology company that provides multimodal shelf intelligence solutions to improve in-store operations for retailers. Their platform, featuring the autonomous robot Tally, uses computer vision and AI to track product location, stock levels, and pricing, providing real-time data and insights. Simbe aims to digitize stores for complete visibility, enhancing efficiency by reducing out-of-stocks and improving pricing accuracy. Their solutions are designed to help retailers manage inventory effectively, increase sales, and enhance the shopping experience, all while operating at a global scale. Recognized as a technology leader, Simbe Robotics empowers store teams with actionable data and significant ROI.

📋 Description

• Own production pipelines end-to-end — design, build, and maintain robust data science pipelines that run reliably in production, including monitoring, alerting, and iterative improvement • Scope and deliver features — take ambiguous problems, define clear analytical approaches, and ship client-facing solutions in collaboration with Engineering and Product Management • Drive cross-functional delivery — proactively identify blockers, align stakeholders across teams, and move projects forward with minimal oversight • Apply AI tooling to accelerate work — leverage LLMs, agents, and other AI-assisted workflows to increase the speed and quality of analysis and development • Translate retail data into decisions — connect store-level signals (inventory, on-shelf availability, task execution, etc.) to meaningful business outcomes for both internal teams and retail clients • Raise analytical standards — establish best practices for reproducibility, documentation, and code quality across the team's DS work • Build conversational data experiences — design and prototype AI agent or chatbot interfaces that allow internal or external users to query and explore retail data through natural language *(nice to have)*

🎯 Requirements

• 5+ years of experience in data science or a closely related role, with demonstrable delivery of production features (not just research or prototyping) • Strong Python skills; comfortable writing production-quality, version-controlled code • Solid SQL and experience working with large-scale cloud data platforms (GCP/BigQuery preferred) • Experience with dbt for data transformation — writing models, tests, and documentation as part of a production analytics engineering workflow • Experience owning the full lifecycle of a data science feature: scoping, building, shipping, and maintaining • Proven ability to work across functions — you've partnered with Engineering, Product, or Commercial teams and know how to communicate tradeoffs and drive alignment • Retail industry experience strongly preferred (store operations, inventory, merchandising, supply chain, or equivalent) • Hands-on experience using AI tools (LLM APIs, coding assistants, prompt engineering) to accelerate analytical work • Familiarity with MLOps practices, pipeline orchestration (Airflow or similar), model monitoring, CI/CD for data science workflows (nice to have) • Experience with data visualization tools (Looker, Tableau, or similar) for communicating findings to non-technical stakeholders (nice to have) • Background in experimentation design (A/B testing, causal inference) (nice to have)

🏖️ Benefits

• Ownership that matters — you'll have real scope over systems and features that run in production and directly affect how our retail partners operate • Cutting-edge stack — GCP, BigQuery, Airflow, and an evolving AI toolchain with a strong appetite for experimentation • High-signal environment — focused team where your work is visible and your technical judgment is trusted • Retail at scale — Simbe's data spans thousands of stores and billions of shelf observations, a genuinely rich and challenging domain