Senior Data Scientist

Wissen Technology is hiring for Senior Data Scientist

About Wissen Technology: 

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. 

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.
  
• Develop and implement robust methodologies to measure the effectiveness of business initiatives (e.g., website features, promotions, UI changes, etc.) using experimentation frameworks.
  
• Own the end-to-end experimentation pipeline, including hypothesis generation, experimental design, implementation, monitoring, and post-experiment analysis.
  
• Identify and mitigate biases in experiment design and results, ensuring statistical rigor and reliability.
  

Advanced Statistical Analysis & Modelling:

• 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 behavior and optimize conversion rates, retention, and other key business metrics.
  
• 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.
  
• 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 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 (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.
  

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 (e.g., recommender systems, predictive modelling).
  
• Familiarity with cloud-based platforms (e.g., AWS, Google Cloud, Azure).
  
• Experience working in an agile environment and collaborating with cross-functional teams in a fast-paced business setting.
  

Wissen Sites: 

• Website: www.wissen.com
  
• LinkedIn: https://www.linkedin.com/company/wissen-technology
  
• Wissen Leadership: Leadership Team | Wissen
  
• Wissen Live: Log Masuk LinkedIn, Daftar Masuk | LinkedIn
  
• Wissen Thought Leadership: https://www.wissen.com/articles/