Sr Data Scientist

Job Summary

We are seeking an inspiring, technically savvy, data scientist who is passionate about building a best-in-class experimentation platform/program to support our rapidly growing suite of eCommerce products. As a Senior Data Scientist, you will be a key player in driving data-driven decision-making across the organization, collaborating closely with engineering, product, marketing, and other cross-functional teams to deliver insights and products that shape the future of our business. You will also mentor junior data scientists and help to foster a culture of experimentation throughout the organization.

Experience : 5 - 9 Years

Location : Bangalore

Mode of Work : Full Time

Education : Ph.D. or master degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.

Key Responsibilities

• Experimentation Design & Analysis: Support the design and execution of A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to assess the impact of product changes, marketing campaigns, and customer experiences.
• Experimentation Design & Analysis: Develop and implement robust methodologies to measure the effectiveness of business initiatives (eg, website features, promotions, UI changes, etc.) using experimentation frameworks.
• Experimentation Design & Analysis: Own the end-to-end experimentation pipeline, including hypothesis generation, experimental design, implementation, monitoring, and post-experiment analysis.
• Experimentation Design & Analysis: Identify and mitigate biases in experiment design and results, ensuring statistical rigor and reliability.
• Advanced Statistical Analysis & Modelling: Conduct advanced statistical analysis (eg, causal inference, Bayesian analysis, regression modelling) to derive actionable insights from experimentation results.
• Advanced Statistical Analysis & Modelling: Develop and refine models to predict customer behavior and optimize conversion rates, retention, and other key business metrics.
• Advanced Statistical Analysis & Modelling: Analyze large-scale datasets and design efficient algorithms to support decision-making in areas like pricing, product recommendations, and personalization.
• Continuous Improvement & Innovation: Stay current with the latest advancements in data science, statistics, and experimentation methodologies.
• Continuous Improvement & Innovation: Propose innovative approaches to enhance the experimentation framework, such as new experimental designs, alternative modelling techniques, or improved metrics.
• Continuous Improvement & Innovation: Lead or participate in research to explore new ways of measuring and optimizing the customer journey in a retail/e-commerce setting.

Required Skills & Experience

• Advanced knowledge of statistical methodologies for experiment design, analysis, and causal inference.
• Expertise in analytics/data software/tools such as Python, R, SQL, and experience with machine learning frameworks (eg, TensorFlow, scikit-learn).
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executive leadership.
• Solid understanding of e-commerce and retail metrics (eg, conversion rate, customer lifetime value, churn, etc.) and how they relate to experimentation.

Secondary Skills (desired)

• Experience with large-scale e-commerce platforms and digital product development.
• Familiarity with the advanced causal and inferential analytics.
• Experience with advanced techniques in machine learning or AI that complement experimentation (eg, recommender systems, predictive modelling).
• Familiarity with cloud-based platforms (eg, AWS, Google Cloud, Azure).
• Experience working in an agile environment and collaborating with cross-functional teams in a fast-paced business setting.

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