Senior Quantitative Analyst, Product Portfolio AI (Remote)

Schumacher

Portugal

Remote

EUR 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Fully remote in Europe
NYC office visits optional (1–2 weeks)
Direct access to CEO
Collaborative environment

Job summary

Schumacher & Co. is seeking a hands-on Senior Quantitative Analyst, Product Portfolio (Statistical Modeling) to own analytics and reporting for SKU productivity across a portfolio of 20,000+ SKUs. This 12-month contract sits within the Data Insights & AI team and reports to the Sr.

Director of AI & Data Insights. Remote work across Europe is offered with optional time in our NYC office. You will collaborate with the CEO and senior leaders to drive data-driven product strategy and optimize

Qualifications

  • 2-5 years in data science, analytics, statistics in SKU-driven businesses.
  • Solid grounding in statistics or operations research (e.g. regression, hypothesis testing, multivariate analysis).
  • Strong SQL and Python, with Snowflake experience including writing back to correct or clean production data.
  • A track record of presenting findings and challenging assumptions directly with senior stakeholders and executives.
  • Independent executor — sets analysis priorities against business goals and ships accurate, high-impact work.
  • Curiosity — digs into root causes and asks why numbers look the way they do.
  • Thinks in terms of SKU-level economics: sell-through, margin, inventory position, lifecycle stage.
  • Hands-on experience applying AI/ML in a business context for task automation.
  • Strong English communication skills and a high ownership mindset.

Responsibilities

  • Work hands-on with CEO and Product Strategy stakeholders to understand key strategic questions, and then build analysis and reporting to address them directly.
  • Use statistical methods (e.g. conjoint analysis, multivariate regression) to identify product attributes driving productivity and translate into data-driven guidance for portfolio decisions.
  • Cut through data noise at scale by controlling for confounders like stock-outs, new/discontinued SKUs, and seasonality.
  • Identify data inconsistencies at the source and correct records in Snowflake, coordinating with upstream platform owners.
  • Present findings clearly to executive audiences, tailoring the message for technical or non-technical stakeholders.
  • Maintain recurring analytics and reporting to provide accurate, timely snapshots of SKU productivity.
  • Use AI to automate repetitive reporting and scale analytics.

Skills

SQL
Python
Snowflake
Statistics
Data analysis
Executive presentation
Independent working
Curiosity
AI/ML basics
SKU economics

Tools

Power BI

Job description

Schumacher & Co. is seeking a hands-on Senior Quantitative Analyst, Product Portfolio (Statistical Modeling) to own analytics and reporting for SKU productivity across a portfolio of 20,000+ SKUs. This 12-month contract sits within the Data Insights & AI team and reports to the Sr.

Director of AI & Data Insights. Remote work across Europe is offered with optional time in our NYC office. You will collaborate with the CEO and senior leaders to drive data-driven product strategy and optimize

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