Data Scientist(Operations Research)

Role: Data Scientist I/II(OR)

About the Team: Data Science at Delhivery

Data Science is fundamental to Delhiverys 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,

1. Location and Maps - Understanding addresses, their location and attributes, and how to reach them and service them differentially.
2. Network Optimisation - Optimising facility locations within our network, parcel distribution among riders, optimising connections and resources.
3. Predictive Modelling - Pricing, RTO, Product Categorisation, Fraud Modelling.
4. 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: Data Scientist 1/2

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.

Additionally, all our data scientists must be highly hands-on with data and skilled at extracting insights from it.

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.

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.
• Bachelors/Masters degree in a STEM subject from a top-tier institution (domestic or international).