Senior Data Scientist (225-909)

The role of a Senior Data Scientist is critical within any data-driven organization, as it involves advanced analytics, predictive modeling, and machine learning to drive business decisions and innovations. This position requires a highly analytical mindset, coupled with strong technical skills and a deep understanding of data science methodologies. Senior Data Scientists are responsible for extracting insights from vast amounts of data and converting this into strategic business actions. They collaborate closely with cross-functional teams to understand business needs and deliver comprehensive data solutions that align with company goals. The position typically requires experience in a variety of analytical software and programming languages, and the ability to communicate complex data findings in a clear and effective manner. A successful candidate will have a proven track record of designing and implementing scalable data models, predicting future trends, and improving operational efficiency.

Responsibilities

• Design and execute advanced analytics and predictive modeling projects for key business initiatives.
• Collaborate with cross-functional teams to understand and translate business needs into data solutions.
• Develop, maintain, and enhance algorithms and machine learning models for improved business outcomes.
• Analyze large and complex datasets to derive actionable insights and valuable business intelligence.
• Communicate data findings effectively to stakeholders, using visualization techniques and reporting tools.
• Mentor and provide technical guidance to junior data scientists and other team members.
• Coordinate with data engineering teams to optimize data pipelines and data warehousing solutions.
• Stay updated with the latest technological advancements in data science and implement best practices.
• Ensure data integrity and accuracy through systematic validation and quality control processes.
• Participate in strategic planning and contribute to business process improvements through data solutions.
• Advocate for data-driven decision-making within the organization, fostering a data-first culture.
• Identify and propose innovative approaches to enhance data processing efficiency and outcome accuracy.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, or related field.
• Minimum of five years of experience in data science or analytical roles.
• Proficiency in programming languages such as Python, R, or Scala for data analysis.
• Extensive experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of machine learning algorithms and statistical modeling techniques.
• Proven ability to handle complex data sets and deliver predictive insights consistent with business needs.
• Excellent communication skills to effectively report data-driven insights to business leaders.