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Data Scientist

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Analyse large, complex supply chain datasets to find trends and opportunities

  • Build predictive models to optimize routing, inventory and delivery times

  • Design data visualisations and dashboards with actionable insights for internal teams

  • Collaborate with operations, IT and customer service teams

  • Improve data quality, integrity and reporting capabilities

From the employer’s posting
Analyse large, complex datasets to identify trends, patterns, and opportunities within our supply chain operations.
Build predictive models and algorithms to optimize logistics processes (routing, inventory, delivery times, etc.)
Design data visualisations and dashboards to support internal teams with actionable insights
Collaborate with cross-functional teams including operations, IT, and customer service
Continuously improve data quality, integrity, and reporting capabilities

What you’ll bring

All qualifications

Core experience

  • Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or related field
  • Ability to work independently and collaboratively in a fast-paced environment
  • 2+ years of experience in a data science or analytical role
  • Strong knowledge of Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI)
  • Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow)

Preferred experience

  • Logistics experience is a plus
Qualification wording
Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or related field
Ability to work independently and collaboratively in a fast-paced environment
2+ years of experience in a data science or analytical role (Logistics experience is a plus)
Strong knowledge of Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI)
Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow)
Education & alternatives
Requirements - Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or related field - 2+ years of experience in a data science or analytical role (Logistics experience is a plus)

Benefits in the posting

Full benefits wording
  • A collaborative and innovation-driven work culture
  • Competitive salary and benefits
  • Professional development opportunities

From the employer’s posting.

Apply at KintLogix

Posting record

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Open 5 monthsWe first saw this posting 157 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026157 days ago
Recorded sightings
68
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 157

Up longer than most. Similar jobs usually come down between day 7 and day 56.

From 10,420 similar postings that came down. Coming down is not always a hire.

KintLogix is hiring

1 open job

  • No new data jobs since June
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Power BI
  • Tableau
  • scikit-learn
  • TensorFlow
Where the posting names them
- 2+ years of experience in a data science or analytical role (Logistics experience is a plus) - Strong knowledge of Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI) - Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow)
- Strong knowledge of Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI) - Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow) - Excellent problem-solving and communication skills

Your next step

Complete your application on kintlogix.zohorecruit.in. The employer’s form will show what is required.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,818.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

We are seeking a Data Scientist to join our fast-growing team in Dubai. The ideal candidate will play a critical role in analysing data across our logistics operations to uncover insights, optimize performance, and support data-driven decision-making. This is a unique opportunity to apply your data expertise in a high-impact role that directly supports business growth and operational excellence.

Key Responsibilities

  • Analyse large, complex datasets to identify trends, patterns, and opportunities within our supply chain operations.
  • Build predictive models and algorithms to optimize logistics processes (routing, inventory, delivery times, etc.)
  • Design data visualisations and dashboards to support internal teams with actionable insights
  • Collaborate with cross-functional teams including operations, IT, and customer service
  • Continuously improve data quality, integrity, and reporting capabilities
  • Translate business challenges into data solutions using machine learning and statistical models


Requirements

  • Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or related field
  • 2+ years of experience in a data science or analytical role (Logistics experience is a plus)
  • Strong knowledge of Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI)
  • Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow)
  • Excellent problem-solving and communication skills
  • Ability to work independently and collaboratively in a fast-paced environment


Benefits

  • A chance to work with a forward-thinking logistics company reshaping supply chain solutions
  • A collaborative and innovation-driven work culture
  • Competitive salary and benefits
  • Professional development opportunities
  • Modern office in the heart of Dubai, UAE


Source details

View original posting ↗

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Pay

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Location & working pattern

Dubai, United Arab Emirates

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