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Require a Senior Data Scientist in Nairobi, Kenya

TestHiring Nairobi, Kenya

IT Services and IT Consulting · 11-50 employees

20 h ago
data-scientist Senior (5-10 yrs) Full-time Kenya
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About the role

The Senior Data Scientist will develop, deploy, and maintain machine learning models to address business needs across various domains like risk, fraud, and customer analytics. They will also own end-to-end reporting, build dashboards, and communicate complex findings to both technical and non-technical stakeholders.

What they look for

Data Analysis Machine Learning Python R SQL Statistical Modeling Feature Engineering Data Visualization Power BI Tableau Business Intelligence Predictive Modeling Data Engineering Stakeholder Management Cloud Computing Hypothesis Testing

Requirements

Candidates must hold a bachelor's degree in a quantitative field and possess at least five years of experience in data science or analytics. Proficiency in Python or R, advanced SQL, and experience with machine learning pipelines and BI tools are required.

Full description

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  • Perform exploratory data analysis to answer business questions, identify trends, and surface issues that need attention.
  • Develop, validate, deploy, and maintain statistical, machine learning, and AI models across customer analytics, segmentation, retention, forecasting, risk, fraud, and optimisation use cases.
  • Translate business and customer needs into analytical problems and data science solutions.
  • Perform data exploration, feature engineering, model selection, validation, and performance monitoring.
  • Build and maintain machine learning pipelines, and deploy solutions into business processes, products, and digital channels.
  • Own end to end reporting work, from gathering requirements with business teams through to building dashboards, reports, and visualisations that support business decisions.
  • Work with data engineering colleagues on data quality, pipeline structure, and warehouse design where it affects analytical or model work.
  • Monitor model performance, data quality, and drift, and keep solutions documented, explainable, and aligned with governance requirements.
  • Communicate findings and recommendations to technical and non-technical stakeholders.

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Requirements

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative discipline from a recognised institution.
  • Minimum of five (5) years of experience in Data Analytics, Business Intelligence, or Data Science.
  • Comfortable working across the analytics stack, from data analysis and BI reporting to model building.
  • Strong proficiency in R and/or Python, advanced SQL, and applied statistics, including inference, hypothesis testing, regression, and experimental design.
  • Strong understanding of machine learning techniques and algorithms, including model selection, validation, and optimisation.
  • Experience working with relational databases, data warehouses, and large datasets, including both structured and unstructured data.
  • Experience building dashboards and reports using tools such as Power BI, Tableau, or equivalent.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud is an added advantage.
  • Strong analytical, problem solving, communication, and stakeholder management skills.

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