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Easyship is seeking a Head of Data (Data Engineering + Machine Learning) to lead the data function from strategy to scalable engineering and AI initiatives. This onsite Bengaluru role collaborates across Product, Engineering, Marketing, and Operations, aligning data architecture with business goals and enabling a data-driven, automated product trajectory.
The role emphasizes building and mentoring high-performing data teams, delivering PoCs and pilots, and driving ROI through a data-first
Easyship is a leading global shipping software and API platform trusted by 100,000+ eCommerce merchants to compare couriers, automate fulfilment, and simplify cross-border shipping, taxes and duties. A top-rated Shopify Certified Technology Provider, eBay preferred fulfilment partner, and Amazon preferred multi-channel integrator, Easyship is the G2 category leader (April 2026), offering 550+ courier services worldwide. We believe in accelerating borderless commerce through innovative solutions, and we're proud that brands of all sizes from small business to enterprise trust Easyship for all their shipping needs.
We are looking for a Head of Data to join our leadership team and define the future of data at Easyship, from strategy and infrastructure to AI innovation and business enablement . This role is pivotal in transforming how we use data to make decisions, innovate, and scale . You'll lead the charge in unlocking the value of data across the business, driving operational efficiency, product intelligence, and long-term strategic advantage .
This is a full-time, onsite role based in our Bengaluru (MG Road) office . The role follows UK collaboration hours (11:00AM–8:00PM IST) to support seamless cross-regional execution .
If you’re excited about this role but don’t meet every requirement, we’d still love to hear from you .
What we bring to the table as an employer:
How we value inclusion in our recruitment practices:
Easyship is an equal opportunity employer. We make all employment decisions—recruiting, hiring, pay, benefits, training, promotion, leave, and separation—based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law.
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