Sr Data Scientist - Merchandise Scaling (applied ML)
Sr Data Scientist - Merchandise Scaling (applied ML)
Posted 14 days ago
SENIORITY
Manager
About the role
- PhD/MS/BS in Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or related quantitative field3 plus years of experience cleaning, transforming and analyzing large datasets for insights leading to business improvements
- Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices
- Demonstrated knowledge of mathematical and statistical concepts, data structures, algorithm design, data analysis, optimization, simulations and visualizations applied to business problems
- Good working knowledge of Python for machine learning - including supervised and unsupervised methods and their applications
- Experience deploying solutions with large-scale business impact
- Self-driven and results-oriented, with the ability to meet tight timelines
- Strong team player with the ability to collaborate across geographies/time zones
- Excellent written and verbal communication skills
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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