Data Scientist

• 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 nontechnical 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 datadriven 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 uptodate with the latest data preprocessing methods and visualization technologies.
• Work collaboratively with crossfunctional teams to foster a culture of data literacy and evidencebased decisionmaking throughout the organization.

scikit-learn,clean code practices,preprocessing libraries,cross-functional collaboration,python,pandas,data collection strategies,numpy,power bi,business acumen,data visualization