Data Scientist 05J26

The Data Scientist position, code 05J26, is an exciting role for analytical thinkers and problem solvers passionate about uncovering insights from data. As a Data Scientist, you will work closely with different departments to pin down business challenges and willingly propose and implement data-driven solutions. Your expertise in statistical analysis, data modeling, and algorithm development will be essential to inform strategic decisions and competitive advantage. You will be part of a dynamic team that values collaboration, innovation, and continuous improvement. This role offers a unique opportunity to leverage your analytical skills and take part in significant projects that impact business processes and outcomes. If you are proactive, detail-oriented, and eager to contribute positively to an organization, this role is tailor-made for you.

Responsibilities

• Develop and implement data models to optimize business outcomes and processes.
• Work with stakeholders to define business problems and the data-driven solutions needed.
• Create predictive models and algorithms to improve customer experiences and product offerings.
• Collaborate with cross-functional teams to integrate and streamline data into decision-making processes.
• Utilize statistical techniques to interpret data, analyze results, and provide actionable insights.
• Maintain and update data collection systems to ensure data quality and integrity.
• Apply machine learning methodologies to analyze large datasets and derive new objectives.
• Generate data narratives by visualizing data using standard and advanced tools.
• Communicate complex data findings to diverse stakeholders in a comprehensible manner.
• Design, conduct, and interpret experiments to test hypotheses and validate data models.
• Stay informed on industry trends, emerging technologies, and best practices in data science.
• Mentor junior data scientists or interns within the team, fostering growth and development.

Requirements

• Bachelor’s degree or higher in Data Science, Statistics, Computer Science, or related fields.
• Minimum of 3 years of experience in data science, analytics, or related roles.
• Proficiency in programming languages such as Python, R, or SQL for data analysis.
• Strong knowledge of machine learning frameworks and data visualization tools.
• Proven experience with statistical modeling techniques and predictive modeling.
• Excellent problem-solving skills with the ability to manage complex datasets effectively.
• Strong communication skills, capable of translating data insights into actionable advice.