Senior Data Scientist

Role overview

Senior Data Scientist at Loadshare Networks

Why This Role is Cool Real-World Impact: Your models will affect lacs of orders and thousands of livelihoods every single day .

Responsibilities

• You'll be at the intersection of real-time rider allocation, business margins, customer experience, and fair pay to gig workers.

Employment details

• Location: Bangalore [India]

About the employer

• About Loadshare: LoadShare is building the future of intracity logistics in India.

Additional role details

• We’re a Series C startup backed by marquee investors like Tiger Global, Matrix Partners, Stellaris, BeeNext, BII, Filter Capital , and others.
• With a robust mix of tech, data, and ground execution, we're enabling hyperlocal commerce across 500+ Indian cities and towns—tier 1 to tier 3+.
• We power last-mile logistics for some of the biggest names in India: Swiggy, Zomato, Flipkart, Amazon, Blinkit, Meesho, BigBasket, Zepto , and many more.
• Our tech and SaaS platforms handle over 4M+ orders per day , including 700K+ through our rider fleet.
• 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 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 .
• What You’ll Work On 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.
• 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.
• What We’re Looking For 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.
• Bonus Points If You Have 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 Ready to Redefine Hyperlocal Logistics?
• Join us.
• Help build a system that delivers millions of packages, changes thousands of lives, and sets the gold standard for modern intracity logistics— using data .