Senior/Lead Data Scientist

oryxsearch.io • United Kingdom
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AI Summary

Join our clients Marketplace team as a Senior/Lead Data Scientist to work on high-impact problem statements, leveraging statistical modeling, machine learning, and large-scale data analysis to develop models and insights that directly influence how millions of people move across cities.

Key Highlights
Optimize ETA predictions, supply & demand balancing, and real-time tracking systems
Develop and deploy predictive models for ETA, demand forecasting, surge pricing, and supply allocation
Collaborate with product, engineering, and operations teams to translate business challenges into data-driven solutions
Key Responsibilities
Develop and deploy predictive models for ETA, demand forecasting, surge pricing, and supply allocation
Design and analyze A/B experiments to test product and algorithmic changes in the live marketplace
Collaborate with product, engineering, and operations teams to translate business challenges into data-driven solutions
Technical Skills Required
Python SQL Probability Statistics Hypothesis testing A/B testing Causal inference Machine learning Spark Hadoop
Benefits & Perks
Competitive compensation
Benefits
Career growth opportunities

Job Description


Senior / Lead Data Scientist - Dubai based - relocation to Dubai


We are seeking a Senior / Lead Data Scientist to join our clients Marketplace team, where you will work on some of the most challenging and high-impact problem statements. This role will focus on optimizing our ETA predictions, supply & demand balancing, and real-time tracking systems—all of which are central to delivering a seamless customer experience.


You will leverage your expertise in statistical modeling, machine learning, experimentation, and large-scale data analysis to develop models and insights that directly influence how millions of people move across cities.


What You’ll Do

  • Develop and deploy predictive models for ETA, demand forecasting, surge pricing, and supply allocation.
  • Design and analyze A/B experiments to test product and algorithmic changes in the live marketplace.
  • Collaborate with product, engineering, and operations teams to translate business challenges into data-driven solutions.
  • Work with real-time streaming data to improve tracking, matching, and dynamic decision-making at scale.
  • Contribute to algorithmic improvements that optimize marketplace efficiency, reduce wait times, and improve customer satisfaction.
  • Mentor junior data scientists and share best practices in experimentation, model development, and applied ML.


What We’re Looking For

  • A minimum of 5+ years of experience in Data Science, Machine Learning, or Applied Statistics (experience in high-scale consumer tech or mobility is a plus).
  • Strong programming skills in Python and proficiency with SQL
  • Deep understanding of probability, statistics, and hypothesis testing, with hands-on experience in A/B testing and causal inference.
  • Proven experience in building and deploying ML models (forecasting, classification, regression, time-series, recommendation systems, etc.).
  • Familiarity with big data technologies (Spark, Hadoop, or similar) is a plus.
  • Excellent problem-solving and communication skills, with the ability to influence cross-functional stakeholders.


Why Join Us

  • Opportunity to work on high-impact marketplace problems that shape real-world mobility.
  • A data-driven culture where experimentation and innovation are encouraged.
  • Collaborative environment with top-tier engineers, product managers, and scientists.
  • Competitive compensation, benefits, and career growth opportunities.


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