Senior Data Scientist 18N25

The Senior Data Scientist 18N25 is a pivotal role within our data-driven organization, tasked with leading the innovation and cutting-edge analytical initiatives. This position offers the opportunity to leverage big data and your predictive modeling skills to drive critical business decisions. As the Senior Data Scientist, you will work closely with cross-functional teams to enhance our data capabilities and create models that improve our products and services. You will be expected to apply your expertise in data mining, statistical analysis, and machine learning to influence strategy at the heart of our operations. If you have a passion for turning complex data into actionable insights, and possess excellent leadership and communication skills, this role is tailored for you.

Responsibilities

• Lead the design and implementation of advanced analytical models and data pipelines.
• Collaborate with product teams to identify opportunities for leveraging company data.
• Build and enhance machine learning models that directly impact business outcomes.
• Provide high-level recommendations on data strategy to senior management.
• Oversee the development of data projects from ideation to deployment stage.
• Identify new data sources and automate their integration into our data warehousing.
• Mentor and guide junior data scientists, ensuring proper knowledge transfer.
• Analyze and visualize complex datasets to extract valuable business insights.
• Develop and maintain documentation for models and data science procedures.
• Work closely with IT teams to ensure data security and privacy compliance.
• Continuously stay updated with the latest industry trends and technologies.

Requirements

• Master’s degree in Data Science, Computer Science, Statistics, or related field.
• Five or more years of experience in data science or analytics roles.
• Proficiency in programming languages such as Python, R, or SQL is required.
• Strong experience with machine learning frameworks and data visualization tools.
• Demonstrable experience in building predictive and prescriptive models.
• Excellent statistical analysis, data mining, and problem-solving skills.
• Exceptional communication skills and ability to explain data insights clearly.