Data Scientist
Core
Design and build algorithms for workforce and workflow intelligence, pre-labeling data, and reducing manual configuration for users.
Role type
Applied data scientist (machine learning & analytics)
Builds
Core intelligence algorithms, pre-labeling models, and automated data structuring systems
Domain
Workforce management, workflow automation, SaaS
Deliverable
production ML models
Required skills
Python, SQL, statistics, experimental design, model evaluation, large dataset handling, translating business problems to data solutions
Preferred skills
weak supervision, automated data labeling, recommendation systems, predictive modeling, workflow automation, process optimization, real-time data systems
Technologies
Python, SQL
Responsibilities
Design algorithms for core intelligence and analytics; Develop models to pre-label and classify data; Collaborate with ML engineers to productionize models; Analyze complex datasets to identify patterns and product opportunities; Evaluate and iterate model performance for accuracy and reliability; Define and improve data structures supporting modeling and automation
Seniority
Mid-Senior, hands-on IC
