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Equity Bank Kenya
Senior Backend Developer (.Net)
Nairobi
• Kenya
Profession (Banking, microfinance, insurance, Mid-level)
Accounting, finance, banking, insurance,Administrative, clerical,Business, strategic management,Customer support, client care,Energy, power,Engineering, architecture,Human resources,Information technology, software development, data,Legal,Media, communications, languages,Medical, health,Project, program management,Research, academy,Sales, marketing, promotion,Security,Transportation, logistics, driving,
Industry (Information technology, software development, data, Mid-level)
Aeronautics,Agriculture, fishing, forestry,Automotive,Banking, microfinance, insurance,Communications, media, radio, tv,Computers, software development and services,Consulting, business support, auditing,Education, academic,Electronics,Energy, utilities, environment,Finance & FinTech,Financial Services,Fitness, well-being and lifestyle,Health care, medical,Human resources, talent development, recruiting,Manufacturing,Marketing, advertising,Non-profit, social work,Outsourcing, leasing,Real estate,Restaurant, hospitality, travel,Telecommunications,Transportation, logistics, storage,
Seniority (Information technology, software development, data, Banking, microfinance, insurance)
© Fuzu Ltd
Old Mutual
Banking + 2 more
Description
Education
- Advanced degree in data science, statistics, computer science, or similar.
- 5+ years of experience in developing statistical and machine learning models for predictive analysis and data visualization.
- AI certifications
Responsibilities
- Lead the design, development, and implementation of statistical and machine learning models for predictive analysis and data visualization
- Develop and implement algorithms for advanced analytics, such as natural language processing, computer vision, and deep learning
- Collaborate with cross-functional teams to identify business problems and translate them into data-driven solutions
- Design and execute experiments to test hypotheses and validate findings
- Mentor and guide junior data scientists in the team
- Stay up to date with the latest tools, techniques, and technologies in the field of data science
- Communicate insights and findings to technical and non-technical stakeholders through reports, dashboards, and presentations
- Work with the engineering team to deploy models in production environment
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