Data Scientist 01J26

A Data Scientist is a pivotal role within any organization seeking to harness the power of data to drive strategic decision-making. In this role, the candidate will leverage statistical analysis, machine learning, and predictive modeling to interpret complex data sets and solve complex business problems. The Data Scientist will work closely with cross-functional teams to understand business objectives and develop data-driven solutions to optimize operations, enhance customer experiences, and support various decision-making processes. The role offers an exciting opportunity to engage with cutting-edge analytics tools and technologies, ensuring that the organization stays at the forefront of innovation and efficiency. Ideal candidates will have a strong analytical mindset, a passion for uncovering insights from data, and an ability to communicate these insights effectively to stakeholders at all levels.

Responsibilities

• Analyze large amounts of complex data to extract meaningful insights and patterns.
• Develop and implement predictive models and machine learning algorithms.
• Collaborate with interdisciplinary teams to understand their data needs and challenges.
• Design and maintain databases and data systems necessary for data analysis.
• Create visualizations and reports to communicate findings and ideas to stakeholders.
• Optimize and improve existing data models and algorithms for efficiency and scalability.
• Research and stay informed about the latest trends in data science and analytics.
• Assist in making predictions, forecasting trends, and supporting business strategies.
• Ensure data quality and integrity while handling large datasets across various platforms.
• Develop and validate analytical tools and dashboards for internal and external clients.
• Provide thought leadership on organizational data strategy and analytics roadmap.
• Mentor and guide junior data scientists and analysts in best practices and methodologies.

Requirements

• Bachelor's or master’s degree in Data Science, Computer Science, or related field.
• Strong experience in statistical analysis and concepts is highly preferred.
• Proficiency in programming languages such as Python, R, or SQL is required.
• Demonstrated ability to handle large datasets and perform data wrangling tasks.
• Experience with data visualization tools such as Tableau or Power BI is essential.
• Solid understanding of machine learning techniques and algorithms is required.
• Strong problem-solving skills, with a keen attention to detail and accuracy.