Responsibilities
- Analyse large, complex datasets to surface trends, patterns, and insights that inform business and product decisions.
- Build, maintain, and present dashboards and reports in Metabase and Google Data Studio (Looker Studio) for business teams and banking partners.
- Design, build, and validate machine-learning models (e.g., classification, regression, forecasting, anomaly / fraud detection) to support the company's ML initiatives.
- Frame ambiguous business problems as data and ML problems, and choose the right approach — including recognising when a simpler analytical solution beats a model.
- Run experiments and analyses (A/B tests, cohort and causal analysis) and communicate results clearly to technical and non-technical audiences.
- Partner with the Lead Data Engineer to productions models — moving them from notebook into our pipelines (Airflow, AWS) with monitoring in place.
- Write efficient SQL and Python for querying, feature engineering, and automation against Redshift (and occasionally BigQuery).
- Uphold data integrity, security, and model explainability / governance in line with our regulatory obligations as a fintech.
- Continuously improve our analysis methods, modelling practices, and reporting.
Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field (Master's is a plus).
- 3 to 6 years in a data science, analytics, or similar role, including hands-on experience building models.
- Strong SQL and hands-on experience querying relational databases and cloud data warehouses.
- Proficiency in Python for data analysis and machine learning (pandas, scikit-learn, and similar).
- Solid grounding in statistics, experimentation, and core machine-learning techniques.
- Experience building dashboards and reports in a modern BI tool (Metabase, Google Data Studio / Looker Studio, Power BI, Tableau, or similar).
- Ability to translate ambiguous business questions into data and ML solutions — and to know when a model is not the answer.
- Excellent communication skills, able to explain technical findings and model behaviour to non-technical stakeholders.
- A proactive, detail-oriented, results-driven mindset.
المهارات المطلوبة
- Python
- SQL
تفاصيل الوظيفة
- الموقع خرطوم - السودان
- القطاع تكنولوجيا المعلومات والاتصالات
- نوع الوظيفة من المنزل
- الدرجة العلمية بكالوريوس
- الخبرات 3-6
- الجنسية غير محدد
وظائف مماثلة
Confidential
الأردنConfidential Company المزيد
المزيد من الوظائف الشاغرة من صاحب العمل
مشاركة هذه الوظيفة
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