Arrive - Data Scientist - AI & Analytics

Arrive; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Arrive is seeking a Data Scientist to join our growing Data Science team in Bengaluru. You will deliver data science products and impactful solutions across the organization, advancing Arrive's data capabilities and ensuring data insights inform decision-making.

You will lead end-to-end data science projects, perform rigorous EDA, and collaborate with cross-functional teams to deliver business value using modern AI and data tooling.

Qualifications

• Experience as Data Scientist or analytical software engineer.
• Strong SQL, data manipulation and analysis skills.
• Cloud experience (AWS/GCP) and data workflows.
• Knowledge of MLOps, CI/CD, model deployment.
• Clear English communication to stakeholders.

Responsibilities

• Lead end-to-end data science projects from problem definition to deployment.
• Perform rigorous EDA with statistical tests and visualizations.
• Collaborate with cross-functional teams to deliver value.
• Address technical hurdles for scalable data science solutions.
• Maintain and optimize deployed solutions.
• Promote data literacy across the organization.
• Prototype Generative AI solutions using LLMs, RAG, embeddings.
• Stay current with new data science trends.

Skills

SQL proficiency

Python data science

MLOps concepts

Communication skills

Education

Bachelor's in Computer Science / Engineering

Tools

AWS

GCP

Snowflake

Airflow

Looker

DBT

Job description

About Arrive

Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide.

About Arrive

Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide.

The Role

Arrive is seeking a 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

• 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.

Tech Stack

• Python (Numpy, Pandas, Scikit-learn, TensorFlow/PyTorch), SQL, AWS, Snowflake, DBT, Looker, Streamlit.

Your Background

• At least 3 years of experience working as a Data Scientist or in a highly analytical software engineering role.
• 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.
• This role is based in Bengaluru, India.

(ref:hirist.tech)