Data Scientist at Tatu City

Tatu City, Kiambu, Kenya -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Modeling, Data Validation, Data Mining, Excel, PowerPoint, Statistical Analysis, Predictive Modeling, Prescriptive Modeling, Forecasting, Dashboard Development, Visual Reporting, Omnichannel Data, Communication Skills, Analytical Skills

Industry

Real Estate

Description

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. 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

Responsibilities

The Data Scientist will explore customer journey touchpoints and develop dashboards and reports to drive meaningful change in the Call Center. Responsibilities include writing SQL queries, constructing data models, and applying statistical analysis to uncover business insights.