Data Scientist 07N25

We are seeking a highly skilled and motivated Data Scientist to join our team and transform raw data into actionable insights. The ideal candidate will have a solid foundation in statistics, machine learning, and predictive modeling to understand and analyze complex business challenges. This role involves working closely with cross-functional teams to establish metrics, influence strategies, and improve decision-making processes. As a Data Scientist at our organization, you will be expected to develop algorithms and data models to drive business solutions and enhance customer experience. Your ability to translate analytical outcomes into business solutions through data visualization is essential for success in this position.

Responsibilities

• Develop and implement data models to improve business strategies and decisions.
• Analyze large datasets to uncover trends, patterns, and insights for stakeholders.
• Create predictive models to identify opportunities and mitigate business risks.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions.
• Design and execute experiments to measure performance and capture key metrics.
• Develop and maintain data pipelines to ensure quality and compliance standards.
• Communicate complex analytical outcomes in simple, clear, and useful terms to stakeholders.
• Stay abreast of the latest advancements in data science, tools, and practices.
• Optimize algorithms for efficiency and scalability in large data-driven applications.
• Implement data governance and data security protocols to maintain integrity.
• Use data visualization tools to translate insights into actionable business processes.
• Continuously enhance processes through automation and machine learning techniques.

Requirements

• Bachelor's or Master’s degree in Computer Science, Statistics, or a related field.
• Proven experience in data analysis, machine learning, and statistical modeling.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Familiarity with big data frameworks such as Hadoop, Spark, or similar tools.
• Capability to work with data visualization tools such as Tableau or Power BI.
• Excellent problem-solving skills and ability to think algorithmically.
• Strong communication skills to effectively deliver technical knowledge to non-technical stakeholders.