Senior Data Scientist (225-729)

The Senior Data Scientist plays a pivotal role in transforming raw data into valuable business insights, guiding strategies and decision-making. This position involves designing and implementing sophisticated analytical models, employing state-of-the-art techniques in machine learning and statistics to solve complex business problems. The ideal candidate possesses not only a deep understanding of data science, but also the ability to interpret and communicate complex results to non-technical stakeholders effectively. A Senior Data Scientist is expected to manage and mentor junior data scientists, while showcasing a penchant for innovation and a passion for data-driven approaches. This role demands an individual who can seamlessly connect vast data sets, providing predictive analytics that offer a competitive advantage to the organization.

Responsibilities

• Develop and implement advanced statistical models and algorithms to solve business issues.
• Analyze large, complex datasets to draw actionable insights and present findings.
• Collaborate with cross-functional teams to understand business requirements and objectives.
• Create predictive models and machine-learning algorithms to support decision-making.
• Mentor and provide technical guidance to junior data scientists and analysts.
• Interpret and communicate complex data analysis results to non-technical stakeholders.
• Identify new data sources and assess their potential value to enhance data science activities.
• Continuously explore new techniques and tools to improve data-driven processes.
• Lead projects from concept through implementation with minimal supervision.
• Ensure data quality and integrity in all analytics deliverables and processes.
• Balance multiple projects, ensuring timely and accurate delivery of analytics solutions.
• Develop clear documentation and coding standards to streamline data science workflows.

Requirements

• Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in a data science role with a focus on quantitative analysis.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Extensive experience with machine learning libraries and data visualization tools.
• Demonstrated ability to communicate complex analytical concepts to non-technical audiences.
• Experience managing and leading data science projects and cross-disciplinary teams.
• Strong problem-solving skills with a results-driven mindset and attention to detail.
• Experience with big data technologies and cloud platforms is highly desirable.