Role: Data Scientist — Rider Growth

Location: Bangalore

Reports to: Lead Product Manager

Experience: 3–5 yrs

About LoadShare

LoadShare is one of India’s most innovative and resilient logistics platforms, transforming how goods move across the country. Founded in 2017, we’ve grown to become a pan-India, multi-category last-mile network with a unique presence in both Tier 1 metros and deep Tier 2/3 towns.

What sets us apart:

- Scale with depth: We handle ~550K deliveries/day across food, e-commerce (B2C), B2B retail, and digital commerce, powered by a 30,000+ rider network.
- Strong financials, stronger ambition: With ₹800+ Cr in FY26 revenue and support from global investors (Tiger Global, Matrix, BII, Stellaris, BeeNext), we have a long runway and a path to profitability.
- Dual-engine model: We not only operate India’s most flexible last-mile delivery network, but also license our in-house logistics tech platform that processes an additional 20 lakh orders/day — one of the few in India to enable asset cross-utilization across verticals.
- Strong Tech: We are in a unique position to cross-utilize the delivery boys across different earning opportunities matching the peaks of various use-cases throughout the day. (ex: grocery peaks at 6-8 am, while bike taxi peaks from 8 to 10 am, etc). In addition to this, our supply chain SaaS platforms power over 1M+ shipments per day.
- Strategic partner to India’s digital economy: We work with every major digital commerce player (ecomm, quick commerce, food, mobility) ,



and are expanding wallet share and capabilities within existing giants while co-creating new models with emerging platforms and brands.
- Built to scale profitably: We’re not chasing GMV at all costs. We’re building the most capital-efficient, tech-enabled logistics engine in the country. We’re now building for our next phase: a 5X scale-up over the next 5 years, anchored in sharper client focus, deeper solutions, and recent growth engines.

Founders/ Founding team:

● Raghu Talluri (CEO) - Formerly at Myntra, McKinsey

● Pramod Nair (CTO) - Formerly at Freecharge, Snapdeal, MartMobi

● Rakib Ahmed (Co Founder, Head EComm/ Trucking/Warehousing)- Formerly at ICICI Prudential, Co founder Lunate Eco The Role: Where Growth Meets Data Science

We're hiring a Data Scientist for the Rider Growth charter of LoadShare Product Org. This role goes beyond preparing data, conducting analysis and building dashboards. Your job starts where that ends: figuring out why a metric moved, and turning that into experiments and models that move it.

Your will look at the entire lifecycle of riders - acquisition, activation, retention, revenue and referral. You will own the why behind every growth metric and convert it into experiments and models that move the needle.

What You'll Work On

- Causal analysis & RCA: Establish causation, not correlation,



for why acquisition/activation/retention metrics move. Use controlled experiments, diff-in-diff, and quasi-experimental methods to move the team from "what happened" to "why, and what to do next."
- Dynamic offers & incentives (ML): Build models for personalized/dynamic offers to address new rider hiring, engagement and reactivation at the right place and right time, balancing uplift in DAU and CAC.
- Experimentation muscle: Design, run, and read rigorous A/B tests; own lift measurement; build the experimentation discipline so launches stop being "assume and ship."
- Segmentation & cohorting: Rider and funnel segmentation, retention/cohort curves, and driver/decision-tree analysis to find the patterns that explain behaviour.
- Forecasting & churn (retention side): Predict supply needs, churn risk, and recovery to inform retention and re-engagement strategy.

What We're Looking For

- 3-5 years in Data Science/ML
- Strong first principles — the core bar.
- Python and practical ML: segmentation, decision trees, regression, and basic causal-inference methods.
- Real grounding in experimentation and statistics — A/B testing, controlled experiments, reading lift honestly.
- AI-native: uses Claude/LLM tooling to accelerate analysis
- Strong communication, comfort being embedded with a PM and business teams, and a bias for action.

Bonus Points If You Have

- Growth, activation, or retention analytics or ML modelling experience.
- Experience with dynamic pricing/incentives, geospatial data, or experimentation platforms.

📌 Data Scientist (Bengaluru)
🏢 Loadshare Networks
📍 Bengaluru