Data Scientist (225-911)

As a Data Scientist, your primary role will be to transform complex data into actionable insights and strategies that enhance decision-making processes and drive innovation. You will leverage your expertise in statistical analysis, machine learning, data mining, and visualization techniques to interpret large data sets from various sources. Your analytical skills, paired with a deep understanding of business contexts, will enable you to develop predictive models and algorithms that support the company's goals. Collaborating with cross-functional teams, you will contribute to the design and implementation of data-driven solutions that address critical business challenges. Your work will directly impact the strategic direction of the organization, positioning it for sustainable growth and success.

Responsibilities

• Develop and maintain predictive models to uncover business opportunities.
• Analyze large datasets using statistical methods to generate actionable insights.
• Collaborate with engineering teams to implement data-driven solutions effectively.
• Create and manage scalable data pipelines for processing and analyzing data.
• Communicate findings and insights clearly to stakeholders and non-technical audiences.
• Leverage machine learning techniques to improve operational efficiency and effectiveness.
• Participate in designing A/B tests to optimize product offerings and user experience.
• Identify trends and patterns in data sets to inform strategic decisions.
• Develop data visualization tools to enhance the understanding of analytical results.
• Work closely with IT to ensure data integrity and security policies are followed.
• Provide guidance and mentorship to junior data analysts and scientists.
• Stay updated with the latest developments and trends in data science.

Requirements

• Bachelor’s degree in Data Science, Computer Science, or a related field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong understanding of statistical modeling and machine learning algorithms.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Excellent problem-solving skills and the ability to work with large data sets.
• Strong communication skills for conveying technical concepts to non-technical audiences.