Junior - Data Scientist

سلطة دبي للمناطق الاقتصادية المتكاملة; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A prominent economic authority in Dubai is seeking a Data Scientist to develop innovative statistical models using machine learning. The ideal candidate will have over 3 years of experience in machine learning, strong skills in statistical modeling, and proficiency in Python. Knowledge of Arabic is desired, and candidates must possess advanced English skills. Join a dynamic team to drive business solutions through effective data analysis.

Qualifications

• 3+ years’ experience in implemented machine learning algorithms and Deep learning algorithms.
• Excellent in statistical modeling, predictive modeling and inferential statistics.
• Sound knowledge of Python’s ML stack.
• Working knowledge of Arabic is desired.
• Advanced English is required.
• Experience using statistical packages for analyzing datasets.

Responsibilities

• Work with stakeholders to identify opportunities for leveraging company data.
• Use predictive modeling to optimize customer experiences and revenue generation.
• Participate in projects covering the Data Science lifecycle.
• Develop explainable ML algorithms and stay current with AI trends.
• Own projects from business needs to technical solutions and deploy models.

Skills

Statistical modeling

Predictive modeling

Python programming

Data mining techniques

Machine learning algorithms

Analytical skills

Tools

Excel

SPSS

SAS

SQL

R

MATLAB

Job description

Overview

The purpose of this role is to work on new ways of capturing and analysing data to be used by the analysts; research and devise innovative statistical models for data analysis. Along with developing models, using machine learning, or incorporating advanced programming to find and analyse data.

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Participate in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.
• Strong expertise in developing explainable ML algorithms (e.g., regression, classification, clustering) and staying current with AI trends and advancements.
• End-to-end project ownership: From translating business needs into technical solutions, to building data/ML pipelines, deploying models, and implementing MLOps.
• Partner with stakeholders to ensure solutions meet requirements and translate technical values in business terminology.
• Skilled in building data stories from insights and using data mining techniques to generate insights.
• Review and validate models developed by team members and external party before production release.
• Develop company A/B testing framework and test model quality.
• Experience with cloud and big data architecture.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analysing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Deploy ML models into production that work as standalone data services.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Stay up to date about developments in Data Science and relevant fields to ensure that outputs are always relevant.

Qualifications

• 3+ years’ experience in implemented machine learning algorithms and Deep learning algorithms
• Excellent in statistical modeling, predictive modelling and inferential statics
• Sound knowledge of Python’s ML stack
• Arabic language desired (working knowledge)
• English required (advanced)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
• Planning, organizing, and analytical skills