Software Engineer

As a Software Engineer specializing in Data Science at Convera in Pune, India, you will play a crucial role in shaping the future of our payment products. Leveraging your technical expertise, analytical acumen, and product intuition, you will work with one of the world's richest datasets. You will collaborate with cross-functional partners across Product, Engineering, Data Engineering, Marketing, Sales, and Operations to address a wide range of product and business challenges. Your contributions will influence strategy and investment decisions through data-driven insights, focusing on tangible impact. Join our world-class data science community, dedicated to your skill development and career growth.

Key Responsibilities:

• Utilize data to support business decisions, quantify new opportunities, anticipate challenges, and ensure our products deliver customer value.
• Assist partner teams in prioritizing development efforts, setting goals, and understanding their business ecosystems.
• Guide teams with data and insights, developing hypotheses and employing a diverse toolkit of analytical approaches, methodologies, frameworks, and technical methods for testing.
• Communicate data-driven stories, convincing and influencing partners with clear insights and actionable recommendations, building credibility through structure and clarity.
• Work with large, complex datasets to solve challenging problems using various analytical and statistical approaches.
• Apply technical expertise in quantitative analysis, experimentation, data mining, and data presentation to develop business strategies.
• Identify and measure the success of business initiatives through goal setting, forecasting, and monitoring key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve business performance and drive roadmaps with your insights and recommendations.
• Partner with Product, Engineering, and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications:

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 2 years of professional experience in analytics, data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
• A minimum of 2 years of experience solving analytical problems using quantitative approaches, understanding user behaviors and long-term business trends, and leading data-driven projects from inception to execution, including defining metrics, designing experiments, and communicating actionable insights.