Arrive - Senior Data Scientist - AI & Analytics

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 Arrives 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).

• 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)