Data Scientist

NeoStats; Dubai; On-site; AED 100,000 - 140,000; Full time

Job summary

NeoStats Analytics is seeking a skilled Data Scientist proficient in Python and SAS, with a strong background in the credit card domain. In this mid-level role based in Dubai, you will develop models, analyze datasets, and collaborate with cross-functional teams to drive business decisions in a fast-paced environment.

Benefits

Competitive Salary and Benefits

Opportunity to grow your career

Ownership of specific responsibilities

Continuous coaching & mentoring

Dynamic and respectful work environment

Qualifications

• 5+ years of hands-on experience in Data Science or Advanced Analytics.
• Proficiency in SAS and Python required.
• Strong background in credit card analytics and risk modeling.

Responsibilities

• Develop and implement statistical models and machine learning algorithms using Python and SAS.
• Analyze large datasets related to credit card usage and fraud detection.
• Collaborate with product, risk, and marketing teams to deliver data-driven insights.

Skills

Python

SAS

Data Analysis

Statistical Modeling

Data Visualization

SQL

Education

Master's/Bachelor's degree in Statistics, Computer Science, Economics, or related field

Tools

AWS

GCP

Azure

Job description

Bachelor of Business Administration(Management)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

Job Description

About Neostats Analytics

NeoStats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.

About the Job

We are seeking a highly skilled Data Scientist with a strong background in the credit card domain to join our dynamic team in Dubai. This is an exciting opportunity to work onsite with a fast-paced and growing startup, where you will leverage your expertise in Python, SAS, and advanced analytics to drive impactful business decisions. You will play a pivotal role in analyzing large datasets, developing predictive models, and delivering actionable insights to stakeholders across product, risk, and marketing teams.

Responsibilities

• Develop and implement statistical models and machine learning algorithms using Python and SAS.
• Analyze large datasets related to credit card usage, fraud detection, customer behavior, and risk modeling.
• Work closely with cross-functional teams including product, risk, and marketing to deliver data-driven insights.
• Perform data extraction, cleaning, transformation, and visualization to prepare datasets for analysis.
• Design and evaluate A/B tests to support product and marketing decisions.
• Build and maintain dashboards, reports, and presentations to communicate findings effectively to stakeholders.
• Apply statistical modeling techniques such as regression, decision trees, and clustering to solve business problems.
• Utilize SAS (Base, Macro, Enterprise Miner) and Python libraries (Pandas, NumPy, scikit-learn) for advanced analytics.
• Conduct customer segmentation analysis to identify patterns and trends in credit card usage.
• Collaborate with risk teams to enhance credit risk analytics and collections strategies.
• Stay updated with the latest advancements in data science, machine learning, and analytics tools.

Requirements

• 5+ years of hands-on experience in Data Science or Advanced Analytics.
• Proficient in SAS (Base, Macro, Enterprise Miner) and Python (Pandas, NumPy, scikit-learn, etc.).
• Strong background in the credit card domain, including risk analytics, collections, and customer segmentation.
• Solid understanding of statistical modeling techniques (e.g., regression, decision trees, clustering).
• Experience working with large-scale structured and unstructured datasets.
• Familiarity with SQL for data querying and manipulation.
• Strong communication and stakeholder management skills.

Preferred qualifications

• Experience in financial services or banking analytics.
• Knowledge of cloud platforms (AWS/GCP/Azure) is a plus.
• Master s/Bachelor s degree in Statistics, Computer Science, Economics, or related field.

What we offer

• Competitive Salary and Benefits.
• Opportunity to be part of a fast-paced and growing startup. Grow your career with the company.
• Ownership - You will own your initiative and be given specific responsibilities.
• Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.
• Dynamic and respectful work environment we truly value you.
• Join NeoStats Analytics and be part of a team that s shaping the future of data-driven decision-making!

Job Details Role Level:Mid-LevelWork Type:Full-TimeCountry:United Arab EmiratesCity:DubaiCompany Website:

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at [e-mail]