Senior Data Scientist (225-729)

TALENTMATE; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A recruitment and staffing firm in Dubai is seeking a Senior Data Scientist to develop advanced analytical models and provide insights to drive business strategies. The ideal candidate will have a Master's degree and strong experience with machine learning. Responsibilities include mentoring junior staff and collaborating with cross-functional teams. Competitive compensation is offered in a fast-paced environment.

Qualifications

• Proven experience in a data science role with a focus on quantitative analysis.
• Experience managing and leading data science projects.
• Extensive experience with machine learning libraries.

Responsibilities

• Develop and implement advanced statistical models and algorithms.
• Analyze large datasets for actionable insights.
• Collaborate with teams to understand business objectives.

Skills

Programming languages (Python, R, SQL)

Machine learning libraries

Data visualization tools

Strong problem-solving skills

Communication with non-technical audiences

Education

Master's degree in Data Science, Statistics, or related field

Tools

Big data technologies

Cloud platforms

Job description

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Job Description

The Senior Data Scientist plays a pivotal role in transforming raw data into valuable business insights, guiding strategies and decision-making. This position involves designing and implementing sophisticated analytical models, employing state-of-the-art techniques in machine learning and statistics to solve complex business problems. The ideal candidate possesses not only a deep understanding of data science, but also the ability to interpret and communicate complex results to non-technical stakeholders effectively. A Senior Data Scientist is expected to manage and mentor junior data scientists, while showcasing a penchant for innovation and a passion for data-driven approaches. This role demands an individual who can seamlessly connect vast data sets, providing predictive analytics that offer a competitive advantage to the organization.

Responsibilities

1. Develop and implement advanced statistical models and algorithms to solve business issues.
2. Analyze large, complex datasets to draw actionable insights and present findings.
3. Collaborate with cross-functional teams to understand business requirements and objectives.
4. Create predictive models and machine-learning algorithms to support decision-making.
5. Mentor and provide technical guidance to junior data scientists and analysts.
6. Interpret and communicate complex data analysis results to non-technical stakeholders.
7. Identify new data sources and assess their potential value to enhance data science activities.
8. Continuously explore new techniques and tools to improve data-driven processes.
9. Lead projects from concept through implementation with minimal supervision.
10. Ensure data quality and integrity in all analytics deliverables and processes.
11. Balance multiple projects, ensuring timely and accurate delivery of analytics solutions.
12. Develop clear documentation and coding standards to streamline data science workflows.

Requirements

• Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in a data science role with a focus on quantitative analysis.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Extensive experience with machine learning libraries and data visualization tools.
• Demonstrated ability to communicate complex analytical concepts to non-technical audiences.
• Experience managing and leading data science projects and cross-disciplinary teams.
• Strong problem-solving skills with a results-driven mindset and attention to detail.
• Experience with big data technologies and cloud platforms is highly desirable.

Job Details

Role Level : Mid-Level

Work Type : Full-Time

Country : United Arab Emirates

City : Dubai

Company Website : https://www.talentmate.com

Sector : Recruitment & Staffing

What We Offer

About The Company

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Additional Information

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting

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