Senior Data Science Consultant
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Key skills for this role
About the Role
NeoStats is seeking a Senior Data Science Consultant for Cards Marketing Analytics in Jeddah, Saudi Arabia. The role involves building predictive models, customer segmentation, and campaign analytics for credit and debit card portfolios.
Key Skills for This Role
Responsibilities
- Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn
- Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization
- Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights
- Design test and learn frameworks, including control groups, campaign measurement logic, and post campaign performance reviews
- Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption
Requirements
- Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting
- Strong banking experience, particularly with credit card and debit card products
- Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics
- Proficiency in Python, SAS, and SQL
- Strong understanding of statistical modeling, machine learning, model validation, and performance tracking
- Ability to clearly communicate analytical outputs to business stakeholders
- Consulting discipline, including structured problem solving, ownership, and timely delivery
- Must be comfortable working as a contractor on a client facing engagement in Saudi Arabia
Full Job Posting
About the Job
- We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our team in Jeddah, Saudi Arabia.
- This role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios.
- The ideal candidate will have extensive experience in banking analytics, particularly in cards marketing, and will play a pivotal role in delivering actionable insights to client teams.
Responsibilities
- Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn.
- Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization.
- Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights.
- Design test and learn frameworks, including control groups, campaign measurement logic, and post campaign performance reviews.
- Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.
Requirements
- Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting.
- Strong banking experience, particularly with credit card and debit card products.
- Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics.
- Proficiency in Python, SAS, and SQL, with hands on experience working with large banking datasets.
- Strong understanding of statistical modeling, machine learning, model validation, and performance tracking.
- Ability to clearly communicate analytical outputs to business stakeholders and prepare senior level presentations.
- Experience working with marketing, product, risk, and data teams in a banking environment.
- Consulting discipline, including structured problem solving, ownership, and timely delivery.
- Must be comfortable working as a contractor on a client facing engagement in Saudi Arabia.
Preferred Qualifications
- Current location in Saudi Arabia, ideally Jeddah.
- Experience in the Saudi or GCC banking market.
- Exposure to card lifecycle analytics, including acquisition, activation, usage, spend growth, retention, and attrition.
- Familiarity with campaign management platforms, CRM systems, or marketing automation tools.
- Experience with A/B testing, uplift modeling, next best action, offer optimization, or customer lifetime value models.
- Knowledge of cloud based data platforms and modern analytics environments.
What we offer
- Competitive Salary and Benefits
- Opportunity to be part of a fast paced and growing startup.
- Ownership You will own your initiative and be given specific responsibilities.
- Continuous coaching & mentoring – interact and work closely with other senior data scientists and AI experts.
- Dynamic and respectful work environment.
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