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Data Scientist

Nairobi, Kenya

HAKKI Car Finance LIMITED

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Regular Staff At An International Car Finance Company (Customer Care And Follow Up / Accounting)

Nairobi, Kenya

Mogo Kenya Limited

Branch Loan Sales Manager - Bungoma & Kisii Regions

Bungoma & Kisii, Kenya

M-KOPA

Strategy Manager

Nairobi, Kenya

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M-KOPA

CLOSED
Head Of Analytics

Nairobi, Kenya

Only on Fuzu

Data Scientist

Closing: Feb 3, 2023

2 days remaining

Published: Jan 24, 2023 (8 days ago)

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Job Summary

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We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.



In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data.

Your goal will be to help our company analyze trends to make better decisions


Responsibilities

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.



In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data.

Your goal will be to help our company analyze trends to make better decisions


  • Identify valuable data sources and automate collection processes

  • Undertake preprocessing of structured and unstructured data

  • Analyze large amounts of information to discover trends and patterns

  • Build predictive models and machine-learning algorithms

  • Combine models through ensemble modeling

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Collaborate with engineering and product development teams

Requirements and skills

  • Proven experience as a Data Scientist

  • Experience in data mining


  • Knowledge of R, SQL and Python;

  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

  • Analytical mind and business acumen

  • Strong math skills (e.g. statistics, algebra)

  • Problem-solving aptitude

  • Excellent communication and presentation skills

  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred


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