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
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Contribute to end-to-end data science projects, from initial problem definition through to production deployment.
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Perform rigorous Exploratory Data Analysis (EDA) using statistical testing, distribution analysis, correlation studies, and visualization to uncover patterns and inform modeling strategy.
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Partner and collaborate closely with cross-functional teams on joint initiatives to deliver business value.
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Support the identification and resolution of technical hurdles in developing scalable data science solutions, collaborating with senior team members on best practices.
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Take shared ownership of developed solutions, ensuring their ongoing maintenance, reliability, and optimization.
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Champion data literacy across Arrive by supporting non-data professionals to develop their analytical capabilities.
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Prototype Generative AI solutions using LLMs, RAG (Retrieval-Augmented Generation), embeddings, vector databases, prompt engineering etc.
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Stay curious by continuously learning and implementing modern data science trends and technologies to foster team-wide innovation.
Tech Stack
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Python (Numpy, Pandas, Scikit-learn, TensorFlow/PyTorch), SQL, AWS, Snowflake, DBT, Looker, Streamlit.
Your Background
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At least 3 years of experience working as a Data Scientist or in a highly analytical software engineering role.
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Proficiency in working with databases and SQL for data manipulation and analysis.
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Experience working with cloud environments (e.g., AWS, GCP, Snowflake, Airflow) and familiarity with modern data workflows.
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Good understanding on MLOps concepts CI/CD pipelines, model deployment and experiment tracking.
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Solid knowledge of software development best practices, including version control and clean coding principles.
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Good understanding on the concepts like LLM architecture, RAG, fine tuning, evaluation framework for generative AI systems.
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Excellent communication skills, with the ability to translate technical concepts for business stakeholders in English.
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This role is based in Bengaluru, India.
(ref:hirist.tech)
