Senior Data Scientist (225-905)

As a Senior Data Scientist, you will play a critical role in leveraging data-driven insights to influence strategic decision-making within our organization. You will utilize your extensive expertise in data analysis, statistical modeling, and machine learning to develop and implement innovative solutions that address complex business problems. The ideal candidate will possess a deep understanding of data science methodologies and be adept at transforming large, complex data sets into actionable insights. You will work collaboratively with a team of talented data professionals, driving impactful projects from conception through to implementation. In this role, you will be at the forefront of using cutting-edge techniques and technologies, contributing to the advancement and application of data science within our organization.

Responsibilities

• Lead the development and implementation of data science projects across the company.
• Analyze large datasets to discover trends, patterns, and actionable insights.
• Collaborate with cross-functional teams to understand their analytical needs.
• Design and develop advanced machine learning models to solve business challenges.
• Present findings and insights to stakeholders in a clear, actionable manner.
• Ensure the robustness, reproducibility, and scalability of data science solutions.
• Mentor junior data scientists, fostering a culture of learning and innovation.
• Collaborate with IT and data engineers to enhance data infrastructure and processes.
• Stay abreast of the latest developments in the field of data science and analytics.
• Continuously improve data collection and analysis processes to ensure data quality.
• Drive end-to-end data science projects from concept to deployment phase.
• Communicate quantitative analyses and data-driven insights effectively to key stakeholders.

Requirements

• Master’s or Ph.D. degree in Data Science, Computer Science, or related field.
• Extensive experience in solving real-world business problems using data science.
• Proficiency in statistical software and programming languages like Python or R.
• Strong expertise in machine learning techniques and predictive modeling.
• Experience with big data technologies such as Hadoop, Spark, or similar.
• Excellent communication skills with the ability to translate data into actionable insights.
• Proven ability to work collaboratively in a multidisciplinary team environment.