About Yulu Yulu is India’s largest shared electric mobility-as-a-service company. Yulu’s mission is to reduce traffic congestion and air pollution by running smart, shared, and small-sized electric vehicles. Yulu is led by a mission-driven & seasoned founding team and has won several prestigious awards for its impact and innovation.

Yulu is currently enabling daily commuters for short-distance movements and helping gig-workers deliver goods for the last mile with its eco-friendly rides at pocket-friendly prices and reducing carbon footprint. Yulu is excited to welcome people with high integrity, commitment, the ability to collaborate and take ownership, high curiosity, and an appetite for taking intelligent risks. Stay updated on the latest news from Yulu at and on our website, Optimization & Decision Science Design scalable algorithms for matching, allocation, routing, scheduling, pricing, and resource optimisation across multi-objective environments.

Develop optimisation frameworks that maximise long-term system efficiency, business value, and user experience while balancing competing objectives.

Machine

Learning & Artificial Intelligence Design, develop, and deploy production-grade machine learning systems across supervised, unsupervised, self-supervised, probabilistic, and reinforcement learning paradigms. Improve model performance through principled experimentation, rigorous validation, uncertainty quantification, and continuous model adaptation. Develop statistically rigorous predictive models for forecasting, estimation, behavioural modelling, anomaly detection, risk assessment, recommendation, and ranking.





Design models that remain calibrated, interpretable, and robust under changing data distributions and operational environments.

Time Series Intelligence

Build forecasting systems for demand, supply, pricing, utilisation, capacity planning, and operational performance across multiple temporal and spatial resolutions. Design adaptive forecasting pipelines capable of continuously learning from evolving data streams.

Graph Machine

Learning & Network Intelligence Model complex relational systems using graph representations and network analytics. Develop graph-based learning algorithms for recommendation, matching, fraud detection, routing, community discovery, knowledge graphs, and network optimisation. Apply graph embeddings, graph neural networks, and representation learning to large-scale relational datasets.

Design algorithms that optimise long-term rewards under uncertainty while balancing exploration and exploitation. Apply reinforcement learning, contextual bandits, online learning, and sequential optimisation techniques where conventional supervised learning is insufficient.

Geospatial Intelligence

Develop machine learning solutions over spatial and spatio-temporal datasets. Model mobility patterns, spatial interactions,



network coverage, route optimisation, and geographic demand dynamics. Experimentation, Causal Inference & Scientific Evaluation Design statistically rigorous online and offline experiments to evaluate product, operational, and marketplace interventions.

Applied

Mathematics & Scientific Computing Analyse computational complexity, convergence, numerical stability, approximation quality, and scalability of mathematical models. Develop mathematically principled solutions rather than relying solely on off-the-shelf machine learning techniques. Research & Scientific Innovation Continuously evaluate advances in machine learning, optimisation, artificial intelligence, operations research, and statistical learning.

Drive innovation through first-principles thinking, scientific experimentation, empirical validation, and rigorous quantitative analysis. Strong foundation in probability theory, statistical inference, linear algebra, multivariable calculus, numerical optimisation , information theory, and statistical learning theory. Demonstrated expertise in optimisation , machine learning, predictive analytics , graph machine learning, reinforcement learning, time series forecasting, and decision science.

Experience designing and deploying production machine learning systems that operate reliably at scale and deliver measurable business impact. Expert-level programming skills in Python and SQL with strong software engineering practices and experience writing effective, maintainable, and production-quality code.

📌 Marketing Data Scientist (Bengaluru)
🏢 Yulu
📍 Bengaluru