Senior Manager – Data Science

Senior Manager – Data Science

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 8 years of experience in data science, with at least 5 years in a managerial role.
• Proven track record of managing and developing high-performing teams.
• Strong expertise in machine learning, statistical analysis, and algorithm development.
• Proficiency in programming languages such as Python, R, or similar.
• Excellent problem-solving skills and the ability to think strategically.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
• Experience with digital marketing platforms such as (SA360, DV360, TheTradeDesk).
• Experience in marketing analytics.

Responsibilities

• Manage and mentor a global team of 3-5 data scientists, fostering a collaborative and innovative work environment. Guide the team in setting goals and provide career development opportunities.
• Oversee the ideation, development, and deployment of advanced algorithms, including contextual bands, to enhance decision-making for digital marketing and CRM notifications.
• Ensure the team delivers high-quality, scalable, and maintainable code and models.
• Monitor and evaluate the performance of deployed algorithms, making necessary adjustments to enhance their effectiveness.
• Collaborate with cross-functional teams to identify opportunities for data-driven improvements and implement effective solutions.
• Stay current with industry trends and advancements in data science and analytics to continuously improve the team’s capabilities.
• Foster a data-driven culture within the team, promoting collaboration and knowledge sharing around contextual bandits and RL applications.
• Communicate complex data science concepts, especially those related to contextual bandits and RL, to technical and non-technical stakeholders.

Preferred Qualifications

No preferred qualifications provided.