Data Scientist

Overview

Join Arrive's growing Data Science team in the AI & Analytics Experience to deliver data science products and solutions across the organization, integrating data insights into decision-making.

What you'll do

• Contribute to end-to-end data science projects, from initial problem definition through to production deployment.
• Perform rigorous Exploratory Data Analysis (EDA) using statistical testing, distribution analysis, correlation studies, and visualization to uncover patterns and inform modeling strategy.
• Partner and collaborate closely with cross-functional teams on joint initiatives to deliver business value.
• Support the identification and resolution of technical hurdles in developing scalable data science solutions, collaborating with senior team members on best practices.
• Take shared ownership of developed solutions, ensuring their ongoing maintenance, reliability, and optimization.
• Champion data literacy across Arrive by supporting non-data professionals to develop their analytical capabilities.
• Prototype Generative AI solutions using LLMs, RAG (Retrieval-Augmented Generation), embeddings, vector databases, prompt engineering etc.
• Stay curious by continuously learning and implementing modern data science trends and technologies to foster team-wide innovation.

What you'll need

• At least 3 years of experience working as a Data Scientist or in a highly analytical software engineering role.
• Strong hands-on experience on Python and its data science ecosystem (for example Numpy, Pandas, Scikit-learn and TensorFlow/PyTorch).
• Proficiency in working with databases and SQL for data manipulation and analysis.
• Experience working with cloud environments (e.g., AWS, GCP, Snowflake, Airflow) and familiarity with modern data workflows.
• Good understanding on MLOps concepts - CI/CD pipelines, model deployment and experiment tracking.
• Solid knowledge of software development best practices, including version control and clean coding principles.
• Good understanding on the concepts like LLM architecture, RAG, fine tuning, evaluation framework for generative AI systems.
• Excellent communication skills, with the ability to translate technical concepts for business stakeholders in English.

Nice to have

• A Software Engineering background or an advanced degree (Masters) in a relevant area (e.g., mobility or Machine Learning).

Details

• Individual contributor position reporting to the Manager of Data Science within the DNA function.
• Based in Bengaluru, India.
• Key stakeholders include Sales, Marketing, Finance, and Distribution partners.