Minimum qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proven experience in data visualization, particularly with Power BI or equivalent visualization tools.
• Strong experience with Python, including familiarity with data preprocessing libraries such as Pandas, NumPy, and Scikit-learn.
• Exceptional communication skills, with the ability to explain complex data concepts to non-expert stakeholders.
• Proven track record of managing data projects, improving data collection, and optimizing data flow.
• Experience with data modelling, machine learning, and using statistical analysis to solve complex business problems.

Job Description:

As a Data Scientist, you will be instrumental in identifying valuable data sources, automating collection processes, and enhancing data quality. You will play a pivotal role in organizing and analysing large datasets to discover trends and patterns that will inform business decisions. A significant part of your responsibility will be to visualize these findings, creating intuitive and interactive data visualizations that communicate complex data in a clear and impactful way. You will also be responsible for improving data quality and implementing advanced data analysis techniques to support our continuous improvement and innovation efforts.

Responsibilities:

• Automate and streamline collection processes to compile large, complex datasets from various sources, enhancing the data quality and utility.
• Employ a variety of preprocessing libraries and techniques in Python to prepare data for analysis.
• Develop and maintain advanced data visualizations and dashboards using Power BI or similar tools to effectively communicate insights to both technical and non-technical audiences.
• Utilize a solid understanding of the business to ensure that data practices align with company objectives and contribute to the improvement of data flow and data collection strategies.
• Act as a bridge between the data science team and business units, translating data-driven insights into actionable business initiatives.
• Maintain a robust knowledge of Python, applying best practices to write clean, efficient, and reliable code.
• Continuously engage in learning and development activities to stay up-to-date with the latest data preprocessing methods and visualization technologies.
• Work collaboratively with cross-functional teams to foster a culture of data literacy and evidence-based decision-making throughout the organization.

Preferred qualifications:

• 2 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
• A deep understanding of the business environment, with the ability to align data projects with business goals.
• 1+ year of experience managing analytical projects.
• Excellent communication and presentation skills, with the ability to deliver findings of analysis.
• 2+ years of experience with analysis applications (i.e., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, SQL).