Senior Data Scientist

Wissen Technology; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Wissen Technology in Bengaluru seeks a Senior Data Scientist to lead an experimentation platform across our ecommerce products, driving data-driven decisions with engineering, product, and marketing teams. You will mentor juniors and champion a culture of experimentation.

You will build causal models, predictive systems, and scalable analytics to improve conversion, retention, and customer insights, while staying current with state-of-the-art methods and communicating complex concepts to senior

Qualifications

• Advanced knowledge of statistics for experiment design, analysis, and causal inference.
• Proficiency with Python, R, SQL and ML frameworks.
• Excellent communication to explain complex concepts to non-technical stakeholders.
• Experience with ecommerce/retail metrics and experimentation.

Responsibilities

• Conduct advanced statistical analysis to derive actionable insights from experimentation results.
• Develop and refine models to predict customer behaviour and optimise conversion rates, retention, and other metrics.
• Analyse large-scale datasets and design efficient algorithms to support decision-making in pricing, product recommendations, and personalisation.
• Stay current with the latest advancements in data science, statistics, and experimentation methodologies.
• Propose innovative approaches to enhance the experimentation framework and measure the customer journey in ecommerce.

Skills

Statistical analysis

Communication skills

Data science fundamentals

Education

Master's degree or PhD in Statistics/Data Science/CS

Tools

Python

R

SQL

TensorFlow

scikit-learn

Job description

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 organisation, 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 organisation.

Responsibilities:

• Conduct advanced statistical analysis (e. g., causal inference, Bayesian analysis, regression modelling) to derive actionable insights from experimentation results.
• Develop and refine models to predict customer behaviour and optimise conversion rates, retention, and other key business metrics.
• Analyse large‑scale datasets and design efficient algorithms to support decision‑making in areas like pricing, product recommendations, and personalisation.
• Stay current with the latest advancements in data science, statistics, and experimentation methodologies.
• Propose innovative approaches to enhance the experimentation framework, such as new experimental designs, alternative modelling techniques, or improved metrics.
• Lead or participate in research to explore new ways of measuring and optimising the customer journey in a retail/e‑commerce setting.

Requirements:

• 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 (e. g., 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 (e. g., conversion rate, customer lifetime value, churn, etc.) and how they relate to experimentation.