Executive - Data Scientist

سلطة دبي للمناطق الاقتصادية المتكاملة; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading company in the UAE is seeking an Executive - Data Scientist to support data-driven decisions through analytics and predictive modeling. You will work on diverse challenges across the data science lifecycle, developing insights and impacting core business strategies while leveraging advanced statistical methods and programming skills.

Qualifications

• 4 years of experience in machine learning algorithms.
• Intermediate knowledge of Python's ML stack including Pandas, Matplotlib, Sklearn, Tensorflow.
• Strong analytical and organizational skills.

Responsibilities

• Analyze complex datasets to support data-driven decision-making.
• Develop predictive models and machine learning applications.
• Build customer-facing reporting tools and evaluate ML model performance.

Skills

Statistical modeling

Data analysis

Predictive modeling

Machine learning

Data visualization

Python

Tools

AWS Redshift

Excel

SPSS

SAS

SQL

Oracle

R

MATLAB

Job description

We are seeking a highly motivated and analytical professional to join our team as an Executive - Data Scientist. To support data-driven decision-making by analyzing complex datasets, developing predictive models, and delivering actionable insights that contribute to the organization's strategic goals

Tasks & Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Use predictive modeling 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.
• Selecting and employing advanced statistical procedures to obtain actionable insights.
• Cross-validating models to ensure their generalizability.
• Work on regression and classification problems on tabular, textual and image data.
• Work on forecasting, anomaly detection and time-series analysis.
• Build recommendation engines.
• Develop company A/B testing framework and test model quality.
• Query large datasets in AWS Redshift to extract the necessary data that will feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing 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.

Requirements:

• 4 years of hands-on experience in implementing machine learning algorithms such as Linear regression, Gradient boosted trees, Neural networks.
• Excellent in statistical modeling and math.
• Intermediate knowledge of Python’s ML stack: Pandas, Matplotlib, Sklearn, Tensorflow.
• 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.