Posted on: 22/09/2025
About the Team : Data Science at Delhivery
- Data Science is fundamental to Delhivery's operations. Handling nearly three million parcels daily necessitates the extensive use of technology and algorithms, a core function of our Data Science/AI team.
- Our team focuses on identifying and solving high-impact business challenges using our vast data resources. This includes, but is not limited to,
- Location and Maps - Understanding addresses, their location and attributes, and how to reach them and service them differentially.
- Network Optimisation - Optimising facility locations within our network, parcel distribution among riders, optimising connections and resources.
- Predictive Modelling - Pricing, RTO, Product Categorisation, Fraud Modelling.
- LLM/ Agentic Interventions - Building custom LLMs, using existing LLMs to solve business problems using agents in multi-modal use cases.
- Each team member is expected to take full ownership of a problem statement, requiring the ability to switch between high-level business discussions and deeply technical solution design and implementation.
- Culturally, we are ambitious, experimental, and fast-paced. We tackle inherently ambiguous and vague problems, and each team member is empowered to take end-to-end responsibility and make independent decisions.
About the Role :
We are seeking "data science all-rounders" for the Data Scientist position. While deep expertise in either traditional modeling or advanced LLM customizations (beyond prompt engineering) is required, candidates should also possess a foundational understanding and appreciation of a broader range of data science models.
Key Responsibilities :
- Identify and understand business problems solvable through data and analytics.
- Translate business problems into data-solvable formulations.
- Gather and analyze data, and build models.
- Rigorously analyze and test models/heuristics with a business-first approach.
- Clearly communicate model results and analyses to business managers.
- Collaborate with operational and other teams to convert data insights into business outcomes.
- Work with product and technology teams to integrate insights and model outputs into our core technology products.
Required Qualifications :
We are looking for individuals passionate about data, business, and bridging the two to create significant impact. Our team operates at a rapid pace, expecting quick turnarounds. The ability to navigate ambiguous problem statements and expectations is a critical aspect of this role.
Key Requirements :
- Strong mathematics and logic skills.
- Excellent written, oral, and visual communication skills.
- Proficiency in Python or a similar programming language.
- Deep knowledge and practical application of either operations research, statistics, machine learning, natural language processing, or simulations to unstructured industry problems.
- Common sense and an understanding of common logical fallacies.
- Proven track record of delivering end-to-end solutions to industry problems.
- 1 to 4 years of relevant industry experience.
- Bachelor's/Master's degree in a STEM subject from a top-tier institution (domestic or international).
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