Data scientist

Work location: Kenya
Work arrangement: Remote
Salary range: KSh 90,000 - KSh 250,000
Skills:
Machine Learning
Critical Thinking
Data Science
Fundamentals of Statistics and Probability
AI Product Manager

Job Description:

We are looking for a highly-skilled Data Scientist to join our team and play a pivotal role in transforming raw data into actionable insights. The ideal candidate is passionate about leveraging data to solve real-world business problems, possesses a strong analytical mindset, and is comfortable working in a dynamic, fast-paced environment.

Key Responsibilities:

  • Data Analysis & Interpretation: Analyze large datasets to discover trends and patterns that help drive business strategies and decision-making.

  • Predictive Modeling: Build and deploy machine learning models to forecast business outcomes, customer behavior, and operational improvements.

  • Data Collection: Collaborate with internal teams to gather, clean, and preprocess data from multiple sources.

  • Statistical Analysis: Use advanced statistical techniques to interpret data and derive actionable insights.

  • Data Visualization: Create clear, visually compelling dashboards and reports to present findings to stakeholders and senior management.

  • Experimentation: Design and conduct experiments, including A/B testing, to evaluate hypotheses and measure the effectiveness of different strategies.

  • Collaboration: Work cross-functionally with product, engineering, and marketing teams to align data insights with business goals.

  • Algorithm Development: Develop custom algorithms for specific business needs using Python, R, or similar tools.

Required Qualifications:

Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related fields.

Technical Expertise:

  • Proficiency in programming languages like Python, R, SQL.

  • Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

  • Strong understanding of statistics, probability, and advanced mathematical concepts.

  • Experience with data visualization tools (e.g., Tableau, PowerBI, Matplotlib).

  • Experience: 2+ years of experience in a data-driven role, working with large datasets and delivering data insights.

  • Problem-solving Skills: Strong analytical skills and ability to turn complex data into actionable strategies.

  • Communication Skills: Excellent verbal and written communication to effectively convey technical findings to non-technical stakeholders.

Preferred Qualifications:

  • Familiarity with cloud platforms such as AWS, GCP, or Azure.

  • Experience with big data technologies (e.g., Hadoop, Spark).

  • Knowledge of Natural Language Processing (NLP) and deep learning techniques.

This application includes an assessment as the first step