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Salary
$31k – $61k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
Overview
Company
Impact
Profile match
Wissen is a global technology consulting and software engineering firm specializing in digital transformation and custom software development. Founded in 2000, the company delivers end-to-end technology solutions across key sectors, including banking and financial services, healthcare, telecommunications, and retail. Its core offerings span application modernization, cloud architecture, artificial intelligence and machine learning, big data analytics, DevOps, and quality assurance.

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.
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