TL;DR

Senior Data Scientist (Procurement Spend): Develop advanced data science and machine learning models to analyze global procurement spend data, deliver strategic sourcing insights, and drive process improvements. Focus on building ML models including deep learning and NLP, benchmarking, and supporting global procurement transformation initiatives.

Location: Onsite in Bangalore, India

Company

%hirify_global% is a leading data storage technology company recognized for innovation and workplace excellence.

What you will do

Deliver actionable procurement spend insights supporting global strategic sourcing across US, EMEA, and APJ.
Analyze and consolidate data from multiple sources including spend, contracts, and suppliers.
Design and implement machine learning models (supervised, unsupervised, deep learning, NLP) for procurement analytics.
Build dashboards, data models, and reporting tools to track procurement performance.
Drive global process improvements including compliance, automation, and sourcing platform implementation.
Partner with stakeholders globally to support strategic decision-making and procurement transformation.

Requirements

Location: Must be onsite in Bangalore, India
Bachelor’s or Master’s degree in relevant fields with 7+ years in procurement analytics or data science.
Proficiency in Python and/or R, Excel, ERP systems, and BI tools like Tableau, Power BI, or Looker.
Experience with machine learning models including deep learning and NLP.
Strong analytical skills and ability to work independently across global teams and time zones.
English: Proficient (B2 or higher)

Nice to have

Project management skills and familiarity with Six Sigma, PMI, Agile methodologies.
Experience building ML libraries or automation/AI tools such as RPA or Alteryx.
Prior involvement in procurement benchmarking, supplier evaluation, or governance.

Culture & Benefits

Recognition as a top workplace with focus on innovation and growth.
Supportive environment encouraging critical thinking and collaboration.
Flexible time off, wellness resources, and company-sponsored team events.
Commitment to diversity, inclusion, and accessibility.