Whiteshield Data Scientist - AI Economics Unit

Whiteshield; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

An innovative firm is looking for a Data Scientist to join its AI Economics Team. This pivotal role involves extracting actionable insights from data, building predictive models, and collaborating with a diverse team to drive data-driven decision-making. The ideal candidate will possess strong analytical skills, proficiency in data analysis tools, and a passion for solving complex business problems. With a commitment to equal opportunities and a focus on employee well-being, this company fosters a culture of empowerment and celebrates individual achievements, making it an exciting place to grow your career in data science.

Benefits

Flexible working model

Healthy work-life balance

Career progression support

Inclusive workplace culture

Qualifications

• 2+ years of experience in data science focusing on analysis and modeling.
• Bachelor's/Master's degree in Data Science or related fields required.

Responsibilities

• Analyze data to identify trends and insights for business decisions.
• Develop statistical models and apply machine learning algorithms.

Skills

Data Analysis

Statistical Modeling

Machine Learning

Data Visualization

Hypothesis Testing

API Frameworks

SQL

Education

Bachelor's/Master's degree in Data Science

Degree in Statistics, Economics, or Computer Science

Tools

Python

R

Tableau

Power BI

matplotlib

FastAPI

Postman

Swagger

Job description

We are seeking a Data Scientist to extract actionable insights from our data and drive data-driven decision-making. This role will play a pivotal part in analyzing data, building predictive models, and providing valuable insights to support our business objectives.

START DATE: January 2025

Reporting To: AI Economics Lead

The Data Scientist is responsible for leveraging data analysis, statistical modeling, and machine learning techniques to extract knowledge and insights from data to inform strategic decisions and solve complex business problems.

This role covers data analysis, statistical modeling, machine learning, and the development of data-driven solutions.

The Data Scientist will be a key member of our AI Economics Team, collaborating with policy consultants, data engineers, data analysts, product owners, and stakeholders to provide valuable insights from data.

Responsibilities

1. Data Analysis: Analyze data to identify trends, patterns, and insights that can drive business decisions.
2. Statistical Modeling: Develop statistical models to analyze and interpret data and generate actionable insights.
3. Machine Learning: Apply machine learning algorithms to solve complex business problems and build predictive models.
4. Data Visualization: Create data visualizations and reports to communicate findings effectively.
5. Hypothesis Testing: Conduct hypothesis testing to validate and prove or disprove hypotheses based on data analysis.
6. Data Quality: Work with data engineers to ensure data quality and consistency for analysis.
7. Documentation: Maintain clear documentation of data analysis, modeling processes, and model performance.

Technical Skills

1. Data Analysis Tools: Proficiency in data analysis tools such as Python, R, or similar.
2. Statistical Modeling: Strong knowledge of statistical modeling techniques and tools.
3. Machine Learning: Proficiency in data visualization tools like Tableau, Power BI, or matplotlib.
4. Hypothesis Testing: Understanding of hypothesis testing techniques and statistical significance.
5. API Frameworks: Strong command of API frameworks such as FastAPI, Postman, Swagger.
6. SQL: Proficiency in SQL for data retrieval and transformation.

Qualifications

1. Education: Bachelor's/Master's degree in Data Science, Statistics, Economics, Computer Science, or a related field.
2. Experience: 2+ years of experience in data science, with a focus on data analysis, statistical modeling, and machine learning.

Personal Attributes

1. Problem Solving: Proven ability to troubleshoot and address complex data analysis and modeling challenges.
2. Analytical Mind: Capable of understanding complex data and business problems and extracting insights.
3. Communication: Effective communication skills to convey complex data findings to non-technical stakeholders.
4. Detail Oriented: Attention to detail in data analysis, modeling, and documentation.
5. Agility: Flexibility to adapt to changing data requirements and priorities.
6. People Oriented: Keeping individual authenticity, build meaningful connections, and firmly believe that we are stronger as One team.
7. Empowerment: Take ownership in work, making decisions, and initiating internal projects.
8. Foresight: Be a forward thinker who demonstrates hyper-awareness of market trends and look beyond the present to provide innovative and sustainable solutions.
9. Work Ethic: Foster a positive culture, built on integrity, transparency, and accountability, while always striving for excellence.

Our Commitment to Equal Opportunities

At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We’re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.

Celebrating Achievements

At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.

Empowering Our People

At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority – innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.