Senior Data Scientist (225-731)

As a Senior Data Scientist, you will be at the forefront of leveraging big data and advanced analytics to drive strategic business decisions. You will be instrumental in building predictive models and machine-learning algorithms to uncover trends and insights that can propel an organization forward. Your expertise will empower teams to harness data effectively, enhancing overall performance and strategic outcomes. This role requires deep knowledge of statistical analysis, as well as strong problem-solving and programming skills. By collaborating across departments, you'll ensure the intelligent application of scientific methods and sophisticated analytical tools that guide major business initiatives and innovations.

Responsibilities

• Lead the design and implementation of complex data science projects and initiatives.
• Develop and apply advanced machine learning algorithms and statistical models.
• Collaborate with cross-functional teams to identify meaningful insights and opportunities.
• Mentor junior data scientists and provide technical guidance and expertise.
• Analyze large data sets using open-source tools and custom scripts.
• Present findings and recommendations to non-technical stakeholders clearly and concisely.
• Continuously improve analytical methodologies and adopt new data technologies as appropriate.
• Ensure the rigorous validation of models using advanced validation techniques.
• Transform complex data analysis into actionable business outcomes and strategies.
• Drive the integration of data-driven solutions into existing business processes.
• Monitor data quality and collaborate with data engineers to fix data issues.
• Stay updated on the latest advancements in data science and implement best practices.

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, or related field.
• At least 5 years of experience in a data science or analytical role.
• Proficiency in programming languages such as Python, R, or SQL.
• Deep understanding of statistical analysis and machine learning techniques.
• Experience with big data tools such as Hadoop, Spark, or similar platforms.
• Strong problem-solving skills with the ability to deconstruct complex problems.
• Excellent communication skills for presenting to technical and business audiences.