Senior Data Scientist

Wissen Technology is hiring for Senior Data Scientist

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

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/