Arrive - Senior Data Scientist - AI & Analytics

Job Title: Arrive - Senior Data Scientist - AI & Analytics Company: Arrive Job Category: Machine Learning Roles & Responsibilities: How To Make An Impact * Lead the end\-to\-end lifecycle of ML projects \- from problem framing, data exploration, feature engineering, and model development to deployment and monitoring. * Partner with cross\-functional leadership on joint strategic initiatives to deliver measurable business impact. * Identify, address, and resolve architectural and technical hurdles in developing scalable data science solutions. * Drive architectural decisions regarding pipelines, model registries, or feature store development ensuring scalability, cost efficiency and reliability. * Raise the technical bar of the team by actively mentoring other data scientists and promoting engineering best practices. * Stay curious by exploring and implementing cutting\-edge data science technologies to foster continuous team innovation. * Translate complex data insights into practical business strategies and lead technical discussions with senior stakeholders. * Mentoring junior data scientists and partnering with other DNA leads to nurture a data\-driven culture and improve data literacy throughout Arrive. * Design and prototype Generative AI solutions using LLMs, RAG (Retrieval\-Augmented Generation), embeddings, vector databases, prompt engineering, and fine\-tuning (LoRA/PEFT). Work Location: Bangalore Urban, Karnataka, India Availability: Full time

About The Role Arrive is seeking a Senior Data Scientist with a strong technical background to join our growing Data Science team in the AI \& Analytics Experience. The purpose of this role is to deliver data science products and impactful solutions across the organization, playing a key role in advancing Arrive's data capabilities and ensuring data insights are effectively integrated into decision\-making. Your Background * 1-2 years of experience working as a Data Scientist, with a proven track record of leading multi\-month projects with measurable business impact. * Strong command of classical ML techniques \- regression, classification, ensemble methods, clustering, dimensionality reduction, time\-series forecasting, causal inference and optimization techniques. * Strong expertise in Python and data science libraries, along with deep proficiency in SQL and cloud architectures and services (e.g., AWS SageMaker, S3, Lambda, ECR or Snowflake or Airflow). * Proven experience mentoring other data scientists, raising technical standards, and advocating for software development best practices. * Demonstrated ability to drive architectural decisions (such as pipelines, model registries, or feature stores) and represent data science at a senior stakeholder level. * Solid software engineering foundations or an advanced degree (Masters/PhD) in a relevant field (e.g., machine learning or mobility). * Experience with geospatial data (e.g., GeoPandas) or big data tools (e.g., PySpark) is highly preferred. * Hands\-on experience with MLOps \- model deployment, CI/CD pipelines, monitoring, experiment tracking and containerization (Docker, Kubernetes). * Practical experience with Generative AI / LLMs \- prompt engineering, RAG pipelines, embeddings, fine\-tuning, and evaluation frameworks for GenAI systems. * Excellent communication skills, with the ability to translate technical concepts for business stakeholders in English. * This role is based in Bengaluru, India. (ref:hirist.tech) Key Skills: Machine Learning, Python, Feature Engineering Salary: Not disclosed