Job Description
About the job SENIOR DATA SCIENCE MANAGER
Job Summary:
The Senior Data Science Manager / Senior Manager (L5) is responsible for leading a team of data scientists to develop and implement data-driven solutions that drive business growth and enhance customer experience. This role requires a deep understanding of business competitiveness, strategic decision-making, and expertise in managing multiple medium to large-scale projects. As a subject matter expert, this individual plays a key role in shaping data strategies and fostering innovation within the payment industry.
Key Responsibilities:
- Lead a team of data scientists to develop and implement advanced analytical models and machine learning algorithms.
- Manage a diverse portfolio of medium to large-scale projects, ensuring alignment with business goals.
- Collaborate with cross-functional teams to identify and leverage new opportunities for data-driven decision-making.
- Utilize data visualization tools to effectively communicate insights to stakeholders.
- Stay updated with the latest trends and technologies in data science, AI, and machine learning.
- Ensure high-quality, scalable, and impactful data solutions that drive business success.
- Provide mentorship and technical leadership to data science teams, fostering innovation and growth.
- Apply in-depth industry knowledge to develop solutions tailored to the payment sector and its data challenges.
Required Skills & Qualifications:
- Strong leadership skills with proven experience in managing data science teams and projects.
- Expertise in machine learning, advanced analytics, and data visualization.
- Excellent problem-solving skills and the ability to drive data-driven business strategies.
- Outstanding communication and collaboration abilities to engage with stakeholders and executive teams.
- In-depth understanding of the payment industry and its data-driven challenges.
Vertical:
Technology