Data Science Manager (Full-Stack / Production ML)

Location: Remote - United States; travel up to 10% for training and conferences

Company

hirify.global Retail provides retail loss solutions that unify data across stores, online channels, and customer service to reduce returns, shrink, and incidents.

What you will do

• Lead end-to-end data science projects from ambiguous business needs through production-ready systems.
• Design data pipelines, data models, governance standards, and cloud infrastructure with the data science team.
• Build, evaluate, monitor, and manage the lifecycle of production ML models.
• Architect and deliver LLM-integrated features and agentic workflows involving prompt engineering, tool use, and output evaluation.
• Write production-grade Python and SQL, enforce code quality, and partner with engineering on product integration.
• Manage 2–4 data scientists, providing mentorship, performance expectations, and technical direction.

Requirements

• 6+ years of experience in data science, data engineering, or a related technical discipline.
• At least 1 year of direct people management or formal technical leadership experience.
• Expert-level Python and SQL, with strong software engineering practices including version control, testing, code review, and CI/CD.
• Deep knowledge of data infrastructure, including pipelines, warehousing, data modeling, and source systems.
• Experience with Snowflake, Azure, AWS, or GCP, plus infrastructure-as-code and containerization.
• Bachelor’s or master’s degree in a technical or quantitative field.

Nice to have

• Experience with dbt, Airflow, Spark, or equivalent modern data stack tools.
• LLM experience with prompt engineering, RAG, fine-tuning, or agent frameworks.
• Experience with agentic AI architectures, including tool use, memory, and orchestration.
• Background in retail, fraud detection, or transaction-level data at scale.

Culture & Benefits

• Medical, dental, and vision plan options beginning on the first day.
• Health savings and flexible spending accounts, paid parental leave, and supplemental coverage.
• Paid time off, 401(k) with immediate vesting and company match, and disability coverage.
• Health and wellbeing resources, including Calm and Sworkit.
• Learning and development opportunities.
• Eligible for a 12–15% bonus in addition to base salary.

Hiring process

• Technical deep dive covering modeling skills.
• System design discussion covering production architecture, deployment, operations, infrastructure, and cost tradeoffs.