Manager - Data Science

Company Overview:

We are a leading global analytics and insights provider, empowering businesses across various sectors, including finance, healthcare, and retail, to make data-driven decisions. Our advanced analytics platforms and solutions enable clients to unlock valuable insights from complex datasets, driving improved performance and innovation.

Role Overview:

As a Manager - Data Science, based in Hyderabad, you will lead a team of data scientists in developing and deploying advanced analytical solutions for our clients. You will collaborate closely with product managers, engineers, and business stakeholders to identify opportunities to leverage data science to solve critical business problems and drive significant impact. Your work will directly contribute to improving our clients' business outcomes through actionable insights and predictive models.

Key Responsibilities:

• Lead a team of data scientists in the design, development, and implementation of machine learning models and statistical analyses to address client needs.
• Collaborate with product managers and business stakeholders to define project scope, objectives, and deliverables, ensuring alignment with business goals.
• Communicate complex technical findings to both technical and non-technical audiences, enabling informed decision-making.
• Mentor and coach junior data scientists, fostering a culture of continuous learning and development within the team.
• Drive innovation by researching and experimenting with new data science techniques and technologies, enhancing our analytical capabilities.
• Ensure the quality and accuracy of data analysis and model development, maintaining high standards of rigor and reproducibility.
• Manage project timelines and resources effectively, delivering projects on time and within budget.

Required Skillset:

• Demonstrated ability to develop and implement machine learning models using Python and related libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proven ability to communicate complex technical concepts clearly and effectively to both technical and non-technical audiences.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into data science solutions.
• Experience in leading and mentoring a team of data scientists, fostering a collaborative and high-performing environment.
• Solid understanding of statistical modeling techniques and their application to real-world business problems.
• Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.