Data Scientist

Tatu City, Kiambu County, kevia Workable ATSPosted Nov 25, 2025
Match with my CV

Technical skills

PythonSQLData analysisBusiness intelligenceData scienceAzureCloud platformsQuality Assurance

Methods

Operations

Role signals

Sales

About this role

Do you enjoy telling stories through data and working with large datasets?

Our Sales Planning team is looking for a Data Scientist to explore customer journey touchpoints, develop dashboards and reports that drive meaningful change in our Call Center. You’ll use your business acumen to turn data-driven insights and analysis into actionable strategies that enhance performance and customer experience.

Responsibilities

  • Write SQL queries and Python code to retrieve, process, and analyze large datasets.
  • Construct efficient multi-threaded data models from large data sets.
  • Develop dashboards and create visual reports for both daily operations and executive-level insights.
  • Apply statistical analysis, predictive/prescriptive modeling, and forecasting to uncover business insights.
  • Analyze customer journey touchpoints to identify trends, behavior patterns, and areas for improvement.
  • Make data backed recommendations on Contact Center programs.
  • Correlate omnichannel data for KPI tracking and manage cross-platform reporting.
  • Collaborate with stakeholders to understand business needs and deliver clear, actionable solutions.

Requirements

  • A bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field
  • At least 2 years of experience in an analytical role
  • Advanced experience with SQL, Python, building data models, data validation, and QA
  • Strong data mining skills with an understanding of cross-platform integrations

- Excellent Excel and PowerPoint skills

  • Strong attention to detail, analytical skills, and the ability to manage multiple tasks
  • Comfortable working in a fast-paced, dynamic environment with shifting priorities
  • Strong written and verbal communication skills, with a solid analytical mindset
  • Experience with Power BI, Azure Data Lake, Databricks, visual analytics, omnichannel data, Azure Cognitive Services, speech analytics, and sentiment analysis is a plus

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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