Senior Data Scientist - Analysis Track | Dubai

Moove; Dubai; On-site; AED 293,000 - 441,000; Full time

Job summary

A mobility technology company based in Dubai is seeking a Senior Data Scientist to develop and deploy analytics solutions that drive business impact. This role involves building data models, creating BI dashboards, and conducting statistical analyses to support strategic decisions. The ideal candidate should have over 6 years of experience in the field, strong skills in SQL and Python/R, and a relevant degree. Join a team committed to innovation and diversity as they transform vehicle ownership and empower the mobility sector.

Qualifications

• 6 years of experience in data science, analytics or related field.
• Strong expertise in SQL, Python/R and data modeling.
• Experience building BI dashboards using tools such as Holistics, Tableau or Power BI.

Responsibilities

• Identify high-impact business problems and own them from conception to value delivery.
• Build and ship data models that support reporting analysis.
• Conduct rigorous statistical analysis to uncover business performance trends.

Skills

Data modeling

SQL

Python/R

Statistical analysis

Business intelligence (BI)

Dashboard development

Business acumen

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Holistics

Tableau

Power BI

Job description

About Moove

Moove is building the worlds largest fleet and best‑in‑class technologies that power mobility platforms. Its flagship Drive‑to‑Own (DTO) product democratises access to vehicle ownership with a revolutionary revenue based financing model enabling underserved mobility entrepreneurs to thrive.

Moove's growth has been fueled by its global Uber partnership and support of leading investors and lenders including Uber, Mubadala, BlackRock, MUFG and many others. With operations now spanning 19 cities across 6 continents – Africa, Asia, Europe, North America, South America and the Middle East – Moove continues to expand its offerings through strategic acquisitions and partnerships with industry leaders including Waymo and Uber. Moove is transforming mobility to make it safer, more efficient and accessible to all while providing economic opportunities and supporting skills development in the mobility sector.

About the Role

We are looking for a builder‑minded Senior Data Scientist who works at the intersection of data modeling, BI reporting and advanced analytics. You will independently develop and deploy data analytics solutions that drive measurable business impact, owning problems from opportunity identification to production deployment. This role requires a balance of strategic thinking, rigorous statistical analysis and hands‑on development of analytics tools and dashboards.

What You’ll be Doing

This role exists to provide actionable insights and scalable analytics solutions that directly influence strategic decisions and operational improvements.

Critical outcomes for the next 6‑12 months include:

1. Building and deploying data models that drive measurable business value weekly.
2. Delivering interactive BI dashboards that are actively used by stakeholders.
3. Enhancing the organization’s data science capabilities through strategic improvements.

Core Responsibilities:

• Identify high‑impact business problems and own them from conception to value delivery.
• Build and ship data models that support reporting analysis and decision‑making.
• Build and scale interactive BI dashboards using BI tools such as Holistics.
• Conduct rigorous statistical analysis to uncover trends, patterns and drivers of business performance.
• Proactively engage with stakeholders to understand business challenges and define success metrics.
• Translate business requirements into technical solutions without requiring management oversight.
• Balance quick wins with strategic improvements to our data science capabilities.

What You will need for this position

• 6 years of experience in data science, analytics or a related field.
• Strong expertise in SQL, Python/R and data modeling.
• Experience building BI dashboards using tools such as Holistics, Tableau or Power BI.
• Proven ability to conduct statistical analyses and translate findings into actionable insights.
• Experience deploying analytics solutions into production environments.
• Strong business acumen and the ability to work independently.
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or a related field.

Key Metrics

• Weekly delivery of analytics solutions or models with measurable business impact.
• Increased adoption of BI dashboards and data science tools across the business.
• Positive feedback from stakeholders on data quality, accessibility and usefulness.
• Demonstrable improvement in decision‑making speed and accuracy.

Who You’ll Be Working with

Directly reporting to our Senior Staff Data Scientist and closely working with our Technology Team.

About the team

Our team is collaborative, positive, curious and engaged. We think fast, work smart, laugh often and are looking for like‑minded people to join us in our mission to disrupt vehicle ownership and make financial freedom within reach.

Moove is strongly committed to diversity within its community. The company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer we welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently.

Pre‑hiring Notice

Moove relies on the accuracy of information contained in employment applications as well as the accuracy of other data presented throughout the hiring process and during employment. Any misrepresentations, falsifications or material omissions in any information or data provided by an applicant may result in the applicant being excluded from further consideration for employment or, if an individual has already been hired, termination of employment.

EEO Statement

Moove is an equal opportunity employer and does not discriminate on the basis of gender, race, sexual orientation, marital status, religion, political affiliation or any other protected characteristic.