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Fleet Management
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Data Science Analyst

Data Science Analyst

Fleet Management

1 - 4 years

5 - 8 Lacs

mumbai

Posted:1 day ago| Platform:

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Skills Required

computer science data analysis fleet management analytical project planning continuous improvement stakeholder management operations analytics sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Data Science Analyst, your typical day will include:

Charting the Course: Development of the NOVA Analytics Platform

Manage analytics projects from concept to project planning, delivery, and completion, adhering to the Analytics roadmap
Source, cleanse, and transform raw data from our big data systems to build a solid foundation for modeling and dashboard development
Perform exploratory data analysis to uncover hidden patterns and valuable opportunities within our datasets
Build, validate, and deploy robust machine learning models and implement them into operational processes
Design, build, and test user-friendly dashboards and analytics tools that are actively leveraged by end-users
Continuously monitor model performance and dashboard usage metrics to make continuous improvements to existing solutions

Signaling Insights: Stakeholder Management & Communication

Act as a lighthouse for our company - provide clear and compelling insights into the business through dashboards and ad-hoc analysis
Translate complex data findings into clear reports and presentations for senior leadership to guide strategic decisions
Partner with maritime subject matter experts to translate their deep domain knowledge into powerful, data-driven solutions
Create clear and concise documentation for all analytical solutions to ensure they are understandable and maintainable

Being an Anchor for the Crew:

Teamwork

Collaborate with the IT team to build high-quality, robust, and scalable solutions that balance technical rigour with real-world usability
Promote data literacy across Fleet Management and drive adoption of analytical solutions by clearly explaining the impact of your work
Champion data governance and best practices to ensure the quality and integrity of our data assets

Relationship (mostly Internal and or External) and Nature of Communication:

INTERNAL:

Development Teams (based in HK & India); Ops & Support (based in HK & India); Stakeholders Director-level and below

EXTERNAL:

Interaction with vendors/third parties

Job Experience, Functional Knowledge and Qualifications

Essential :

3+ years experience in a Data Analytics or Data Scientist role
Hands-on experience across the entire life cycle of an analytics solution
Database technologies (e.g. SQL, NoSQL, Graph Databases)
Written queries to extract data and perform complex transformations and joins so that it can be used for modelling or dashboard development

Data Visualisation Tools (e.g. Tableau, Power BI):

Single-handedly developed, launched, and maintained multiple dashboards; can explain the purpose of the dashboards and visual choices chosen to generate insights

Data Science and Model Development (e.g. Python, R):

Built machine learning models from scratch (data preparation, feature engineering, model training/validation, model deployment). Familiar with modern ML packages (e.g. Scikit-learn, Pytorch)

Programming Development (e.g. Git):

Have a strong emphasis on code versioning, tracking and proper development practices (documentation and commenting)
Experience with and comfortable speaking with senior stakeholders (Director-level) to gather requirements for analytical solutions, leading user testing, and presenting solution to company leadership
Independently delivered end-to-end projects and insights that improved business processes, driven the adoption of new methods, or launched a new solution, yielding quantifiable benefits
Excellent communication and presentation skills in English

Desirable

Bachelors or masters degree in mathematics, Statistics, Computer Science, or a related quantitative field
Experience setting up and managing cloud infrastructure for analytics purposes (e.g., AWS Sagemaker, EC2, Tableau Server)
Experience in Generative AI model hands-on usage, model tuning, and configuration (e.g., Vertex AI, LangChain, Hugging Face)
Exposure to Big Data technologies (e.g. Spark, Hive, Presto)
Certificates in Tableau or native-cloud platforms such as AWS, Azure, or Google Cloud

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