Data Scientist
Tatu City Open · verified Oct 24, 2026 At a glance
Mid-level Data Science role at Tatu City. Tatu City.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Use SQL and Python to retrieve, prepare and analyze large datasets, then build efficient multi-threaded data models
- Create dashboards and visual reports for daily Call Center work and executive decisions
- Apply statistics, forecasting and predictive or prescriptive models to find business insights
- Study customer journey touchpoints and omnichannel KPIs to spot patterns and recommend Contact Center improvements
- Work with stakeholders to turn business needs into clear solutions and coordinate cross-platform reporting
What you bring
- A bachelor’s degree in data science, statistics, computer science, business or a related area
- At least two years in an analytical role
- Advanced SQL and Python skills, including data modeling, validation and quality assurance
- Strong data-mining ability, plus excellent Excel and PowerPoint skills
Who this fits
This role suits an analytical data scientist who can explain findings clearly, handle changing priorities and manage several tasks. It is an on-site position in Tatu City, Kenya.
From the employer
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
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