Data Scientist 27J25

As a Data Scientist, you will be at the forefront of utilizing cutting-edge analytical techniques to explore and manage vast datasets. You will collaborate with diverse teams to translate complex data findings into actionable insights that drive strategic business decisions. This role demands a deep understanding of machine learning, statistical analysis, and data visualization. Your ability to interpret data trends and communicate them effectively will be crucial in refining company processes, enhancing customer satisfaction, and increasing profitability. Joining us provides an opportunity to work with innovative technology and contribute to impactful projects that shape the future of our company.

Responsibilities

• Analyze large datasets to identify patterns and insights for business improvement.
• Develop predictive models to forecast trends and customer behavior accurately.
• Work closely with IT teams to support data infrastructure and data flow solutions.
• Collaborate with cross-functional teams to integrate data science solutions into business operations.
• Visualize and present data findings in a clear and concise manner to stakeholders.
• Research and implement machine learning algorithms to solve complex business problems.
• Ensure quality, consistency, and integrity of data and analytical processes.
• Evaluate and recommend data science tools and technologies to improve efficiency.
• Provide training and guidance to junior data scientists and analysts in the team.
• Document processes and methodologies to maintain transparency and reproducibility.
• Engage in continuous learning to enhance understanding of latest data science trends.
• Contribute to the development and execution of big data strategies for the organization.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• Proven experience in a data science role, preferably in a corporate environment.
• Strong proficiency in Python, R, or other statistical programming languages.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Solid understanding of machine learning algorithms and statistical modeling techniques.
• Demonstrated ability to communicate complex data insights effectively to non-technical stakeholders.
• Excellent problem-solving skills and the ability to work independently and as part of a team.