Job vacancy Data Scientist

Get To Know The Role:

● Product Experimentation and A/B Testing:

- Collaborate closely with product managers to define hypotheses and design experiments aimed at improving the consumer experience.

-Run A/B testing frameworks, quasi-experiments and statistical methodologies to measure the impact of product changes on key metrics such as user engagement, retention, and conversion rates.

-Analyze experiment results to draw actionable insights and make data-driven recommendations for product iterations and enhancements.

● Advance Analytics, Root Cause Analysis and Insights Generation:

-Conduct in-depth analysis of user behavior data to uncover actionable insights and opportunities for product improvements.

-Utilize advanced statistical techniques and machine learning algorithms to identify patterns, trends, and correlations in large datasets.

-Work closely with cross-functional teams to translate insights into actionable recommendations for product enhancements and optimizations.

● Collaboration with Product Managers:

-Work hand-in-hand with product managers to understand user needs, pain points, and business objectives.

-Provide analytical support and guidance to product teams throughout the product development lifecycle, from ideation to implementation.

-Act as a strategic partner to product managers, helping them make informed decisions and prioritize features based on data-driven insights.

● Developing Product and Feature Performance Tracking Dashboards:

-Design and develop dashboards to track the performance of products and features, providing stakeholders with real-time visibility into key metrics and KPIs.

-Implement data visualization best practices to ensure that dashboards are intuitive, informative, and actionable for product organizations.

-Empower product managers and stakeholders to monitor the impact of product changes and make data-driven decisions to drive continuous improvement.

-Highlight trends, anomalies, and areas for optimization through visually compelling dashboards, enabling proactive decision-making and rapid response to emerging issues.

Qualifications

● Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, or other quantitative subjects

● 1 to 3+ years experience in Analytics, Business Intelligence or Data Science role, preferably in an Internet company with large, complex, high-velocity data

● Advanced SQL writing skills and experience in querying large relational databases

● Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.

● Ability to handle multiple priorities and solve ambiguous problems in a fast-paced environment

● Hands-on experience with data analysis/programming tools like R or Python and Data Visualization platforms like Tableau / PowerBI / D3.js, etc

● Experience with designing, running, and analyzing A/B tests and product experiments. Should also have an understanding of hypothesis testing and the basic principles of DoE