Postion Overview
Are you passionate about uncovering insights from data and turning them into actionable strategies? We’re on the lookout for a dynamic and enthusiastic Data Scientist to join our team. This is an excellent opportunity for professionals to gain valuable experience and contribute to exciting projects.
The Data Scientist will play a critical role in analyzing datasets to derive actionable insights, build predictive models, and contribute to strategic decision-making processes. The ideal candidate will have a strong background in statistical analysis, machine learning, and data manipulation, and will be passionate about leveraging data to solve complex problems.
Who are we looking for?
• Master’s degree in data science, statistics, computer science, mathematics, or a related field (Ph.D. preferred).
• Minimum 5 years proven experience as a Data Scientist or in a similar role.
• Proven experience with data visualization tools preferably Microsoft Power BI.
• Strong programming skills in languages such as Python, R, and SQL.
• Strong problem-solving skills and attention to detail.
• Proficiency in machine learning frameworks (e.g., TensorFlow, Keras, Scikit-learn).
• Excellent understanding of statistical analysis, data mining, and predictive modeling techniques.
• Excellent communication and teamwork abilities.
• Stay current with the latest trends and advancements in data science, machine learning, and AI.
Roles & Responsabilities
• Design and maintain databases and data systems.
• Collect, clean, and preprocess data from various sources.
• Automate data collection and processing pipelines.
• Ensure data integrity and security.
• Work closely with cross-functional teams, including sales, marketing, operations, HR and finance to understand their data needs and provide data-driven solutions.
• Perform exploratory data analysis to uncover trends, patterns, and anomalies.
• Develop, validate, and deploy predictive models and machine learning algorithms.
• Continuously monitor and refine models to improve their accuracy and effectiveness.
• Present complex data analyses and insights to non-technical stakeholders in a clear and concise manner.
• Propose and implement new methodologies and technologies to improve data analysis processes.