About the role
The Role: Where Business Meets Data Science
- We’re looking for a Senior Data Scientist to join our Hyperlocal Business Unit—the fastest growing part of LoadShare. This isn’t your typical ML role. You'll be at the intersection of real-time rider allocation, business margins, customer experience, and fair pay to gig workers. You'll have full ownership and freedom to rethink how orders get assigned, how riders move, and how we balance profitability with empathy and excellence.
- Your mission, should you choose to accept:
Make our allocation engine smarter and faster, using data science, machine learning, and a bit of madness. Every 0.1% improvement you drive scales across lacs of deliveries and thousands of riders.
- Rider Allocation Engine: Improve how we assign orders to riders using ML, optimization, and predictive modeling to improve margins, reduce wait times, and increase batchability.
- Rider Earnings vs. Business Margins: Build models that find the sweet spot between paying riders fairly and hitting profitability goals—without compromising on customer experience.
- Demand-Supply Matching: Create algorithms to anticipate demand, shape rider shifts across space and time, and reduce delivery failures in hotspots and dark zones.
- CX & SLA Optimization: Use historical data to predict SLA risks and proactively re-route or re-assign in real-time.
- Experimentation & Impact: Design A/B tests to validate everything you ship. What you build, you own.
- Scale ML in Production: Work with engineering to ship robust, real-time data science solutions that touch live operations daily.
- Real-World Impact: Your models will affect lacs of orders and thousands of livelihoods every single day.
- Freedom to Experiment: You get a playground with real data, full support from leadership, and space to try bold ideas.
- Full Stack Data Science: From ideation to shipping models to influencing business decisions, you’ll do it all.
- Tech + Ops Fusion: See your work directly improve operations, rider morale, and customer happiness—in days, not quarters.
- Incredible Team: Work with some of the sharpest minds in logistics, ops, and engineering.
- Quick Commerce Revolution: You get to be in the foreground of the QC revolution, shaping how 3Ps help solve the stress.
- 4+ years of experience in Data Science/ML/OR solving complex real-world problems
- Strong in Python, SQL, and ML frameworks
- Good grounding in optimization, statistics, experimentation, and business sense
- Curious mind, strong communication skills, and a bias for action.
- Worked on last-mile logistics, food delivery, or hyperlocal services
- Built real-time systems or worked closely with engineering on model deployment
- Experience with geospatial data, ETA models, or dynamic pricing
- Passion for making tech more inclusive for gig workers and emerging markets