9 часов назад
Data Science Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Manager (AI): Leading hands-on development of production data platforms, machine learning systems, and LLM-integrated features with an accent on data engineering, model delivery, and agentic architectures. Focus on designing governed pipelines, deploying and monitoring models, guiding cloud architecture, and mentoring a team of data scientists.
Location: Remote - United States
Eligible for a 12–15% bonus in addition to the base salary.
Company
Retail provides data-driven retail loss solutions for returns, shrink reduction, and incident management across omnichannel retail.
What you will do
- Lead end-to-end delivery of data science projects from ambiguous business requests through production-ready systems.
- Design and maintain data pipelines, data models, governance standards, and cloud infrastructure for data science projects.
- Build, evaluate, deploy, monitor, and iterate on production machine learning models.
- Architect LLM-integrated features and agentic workflows, including prompt engineering, tool use, and output evaluation.
- Write production-grade Python and SQL, enforce code review and documentation standards, and partner with engineering on product integration.
- Manage, mentor, recruit, and develop a team of 2–4 data scientists while contributing to the data and analytics roadmap.
Requirements
- Master’s degree in a quantitative field, or a bachelor’s degree with significant professional experience.
- 6+ years of experience in data science, data engineering, or a closely related technical discipline.
- 1+ year of direct people management or formal technical leadership experience.
- Expert-level Python and SQL, with experience writing production code.
- Strong knowledge of data pipelines, warehousing, data modeling, source systems, and machine learning lifecycle management.
- Experience with cloud data platforms such as Snowflake, Azure, AWS, or GCP, plus software engineering practices including version control, testing, and CI/CD.
Nice to have
- Experience with dbt, Airflow, Spark, MLflow, feature stores, or model registries.
- Experience with LLMs, RAG, fine-tuning, prompt engineering, or agent frameworks such as LangChain or LlamaIndex.
- Familiarity with agentic AI architectures, including tool use, memory, and orchestration.
- Experience in retail, fraud detection, or transaction-level data at scale.
Culture & Benefits
- Remote work arrangement in the United States with minimal optional travel.
- Medical, dental, and vision plan options, plus health savings and flexible spending accounts.
- Paid parental leave, paid time off, life coverage, and short- and long-term disability benefits.
- 401(k) with immediate vesting and company match.
- Learning and development opportunities, plus access to health and wellbeing resources.
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