Data Scientist
Job Overview:
As a Data Scientist, you will be at the forefront of turning complex data into actionable insights that inform business strategies and drive innovation. You will work closely with cross-functional teams to develop and deploy data science solutions that contribute to the achievement of our business goals.
Responsibilities:
Data Exploration: Collect, clean, and preprocess data from various sources to ensure data quality and integrity.
Statistical Analysis: Apply advanced statistical and machine learning techniques to analyse data and extract meaningful insights.
Model Development: Design, build, and optimise predictive and machine learning models that address specific business problems and opportunities.
Data Visualisation: Create visually compelling reports and dashboards to present data findings to both technical and non-technical stakeholders.
Hypothesis Testing: Formulate and test hypotheses to validate assumptions and provide data-driven recommendations.
Feature Engineering: Identify and engineer relevant features to improve model performance and accuracy.
A/B Testing: Design and conduct experiments to evaluate the impact of changes and optimisations.
Data Storytelling: Communicate complex technical findings in a clear and understandable manner to support decision-makers.
Collaboration: Collaborate with teams across the organisation to understand business objectives and provide data-driven insights and recommendations.
Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and analytics to apply cutting-edge techniques and tools.
Requirements
Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines.
3-5 years of experience as a Data Scientist or in a similar role.
Proficiency in data analysis tools and languages, such as Python or R.
Strong knowledge of machine learning techniques and libraries.
Experience with data visualisation tools like Tableau, Power BI, or similar.
Excellent problem-solving skills and the ability to think critically and analytically.
Strong communication and storytelling skills, with the ability to explain complex technical concepts to non-technical stakeholders.
An understanding of data ethics and the responsible use of data.