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.

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).

Your Background

At least 5 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)

Arrive - Senior Data Scientist - AI & Analytics