Manager - Data Science

What you gain by working with the Data Science team :

- Own Your Journey from Start to Finish : Take pride in having full-cycle ownership of your projects. You won't just be a cog in the machine; you'll be the architect, designer, and implementer of cutting-edge Data Science solutions that drive our business forward.

- Immerse Yourself in a Data Wonderland : Welcome to a playground where data is abundant and limitations are few. Our high-growth, agile environment offers a treasure trove of data, giving you the freedom to experiment, innovate, and make data-driven decisions that matter.

- Be Part of a Synergistic Dream Team : Collaborate with a diverse group of high-performing professionals who are as passionate about data science as you are. Our culture fosters continuous learning and upskilling, setting you up for ongoing success and career growth.

Make a Tangible Impact : Your work won't just sit on a shelf; it will make waves. By closely collaborating with stakeholders across departments, you'll have the opportunity to design and develop data science solutions that not only solve complex problems but also make a meaningful impact on our company and the fintech industry at large.

Responsibilities :

- Lead and Develop a High-Impact Team: Lead, manage and mentor a team of data scientists, fostering a culture of continuous learning and professional growth. Guide team members in their project work and support their career development. Will own appraisals , compensation queries and leave management of his direct reports.

- Set Strategic Vision and Drive Innovation: Set clear goals and expectations for the team and individuals, and regularly assess and improve team performance. Ensure alignment with organizational goals and provide technical direction.

- Build Strong Cross-Functional Partnerships: Cultivate trusted relationships with stakeholders in business, product, and engineering to identify opportunities, shape initiatives, and ensure successful implementation of data science solutions. Act as a bridge to integrate data science seamlessly into business functions.

- Implement Industry-Leading Standards for Model Quality and Monitoring: Define robust metrics and quality standards to evaluate model performance and outcomes. Establish and oversee best-in-class model monitoring systems to ensure reliability, scalability, and sustained impact over time.

Qualifications :

- Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, Economics, or another quantitative discipline. Demonstrates a research-oriented mindset with 6+ years of experience in data science or related fields.

- Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies.

- Proficiency in applying deep learning algorithms to solve complex data challenges, with hands-on experience in TensorFlow or PyTorch.

- Skilled in designing, executing, and scaling A/B experiments to validate and optimize data science solutions.

- Advanced Python programming abilities with extensive experience in building robust data pipelines in PySpark, performing feature engineering, and optimizing data workflows.

- Deep familiarity with libraries and tools such as pandas, scikit-learn, SQL, and Scala, with additional experience in MLOps frameworks like Docker, Databricks, and Kubernetes for production-grade model deployment.

- Demonstrated track record in developing and implementing large-scale machine learning solutions that drive business impact.

- Experience of leading projects with multiple team members / managing team is preferred