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Information Technology · Not stated

Direct employer

Data Scientist

Tatu City

Tatu CityNot stated · Not statedDeadline not published by employerChecked 12 Nov 2026
Data analysis workstation with charts on two screens in a Nairobi office.

Published by employer

About this role

This plain-English summary was prepared by work.ke from the original advert. Confirm all details on the source before applying.

Role overview

Tatu City in Kiambu County is seeking a Data Scientist to join their Sales Planning team. This role involves analysing customer interactions and creating reports to improve Call Center performance. It is suited for someone with a background in data analysis and business insight.

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What you will do

  • Write SQL queries and Python scripts to handle and analyse large datasets.
  • Build efficient multi-threaded data models from extensive data collections.
  • Create dashboards and visual reports for daily use and executive review.
  • Use statistical methods, predictive and prescriptive models, and forecasting to find business insights.
  • Examine customer journey points to spot trends and suggest improvements.
  • Provide data-driven recommendations for Contact Center initiatives.
  • Combine data from multiple channels to track KPIs and manage reporting across platforms.
  • Work with stakeholders to understand business requirements and deliver clear, actionable data solutions.

Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Business, or a related field.
  • Minimum of 2 years experience in an analytical role.
  • Advanced skills in SQL, Python, data modelling, data validation, and quality assurance.
  • Strong data mining abilities and knowledge of integrating data across platforms.
  • Proficient in Excel and PowerPoint.
  • High attention to detail and strong analytical skills.
  • Ability to manage multiple tasks and work effectively in a fast-paced environment with changing priorities.
  • Excellent written and verbal communication skills with an analytical mindset.
  • Experience with Power BI, Azure Data Lake, Databricks, visual analytics, omnichannel data, Azure Cognitive Services, speech analytics, and sentiment analysis is preferred.

How to apply

Apply through the employer's official contact, providing your application as instructed. The employer has not published a closing date.

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