Job Description

About VWO

VWO is a leading Digital Experience Optimization platform trusted by over 3,000 businesses in 100+ countries, including global brands like Samsung, Vodafone, Toyota, HBO, and Domino's. What began 15 years ago as one of the world’s first A/B testing tools has since evolved into a comprehensive, enterprise-grade platform used by product, marketing, and growth teams to experiment, personalize, analyze behavior, and build exceptional digital experiences.

Today, VWO offers a full-stack suite for A/B testing, multivariate testing, feature rollouts, heatmaps, session recordings, behavioural analytics, surveys, personalization, and more across web, mobile, and server-side applications — all in one unified platform. We enable teams to make confident, data-driven decisions that drive user engagement, retention, and conversion.

VWO is a profitable, founder-led business with $50M+ ARR, strong EBITDA margins, and a history of capital-efficient, sustainable growth. In January 2025, Everstone Capital acquired a majority stake in the company to help accelerate our global expansion — both organically and inorganically.

We are a fully remote team of 450+ people, with go-to-market teams across the Americas, Europe, and APAC, and product and engineering anchored in India. Our culture values deep thinking, fast execution, and strong ownership — with minimal bureaucracy and high autonomy. Despite our scale, we continue to operate with the agility and ambition of a startup.

At Wingify, our Data Science Team tackles diverse research challenges in Digital Experience Optimization, crafting cutting-edge solutions to help businesses grow. As a Senior Data Scientist, you will play a pivotal role, directly engaging with senior leadership while fostering a culture of learning through experimentation. You’ll collaborate with teams across product development, engineering, and customer success to create impactful solutions, blending business insight with rigorous research.

What You’ll Do:

1. Develop Advanced Algorithms for Optimization and Experimentation:
2. Dive deep into research papers and transform complex theories into actionable models.
3. Build and run simulations to validate algorithm efficacy.
4. Tackle exciting challenges such as personalization, multivariate testing, and generating insights from A/B test data.
5. Build and Deploy Intelligent Products:
6. Collaborate with developers and product managers to design user-centric features.
7. Simplify complex data insights and hyperparameters to make them accessible to customers.
8. Shape new products that address critical customer needs.
9. Enhance and Maintain Core Statistical Engines:
10. Continuously improve our Bayesian statistical A/B testing engine.
11. Solve real-world customer issues like outlier detection, sample ratio mismatches, and A/A test anomalies.
12. Develop innovative features based on emerging customer requirements.
13. Engage with Customers to Address Needs and Challenges:
14. Collaborate directly with customers to gather first-hand feedback and insights.
15. Educate users on experimentation nuances and support statistical inquiries.
16. Use customer inputs to inform and drive research initiatives.
17. Explore New Research Frontiers:
18. Conduct personal research to discover novel statistical methods.
19. Identify trends and innovations in experimentation through competitor analysis.
20. Propose groundbreaking solutions to enhance product capabilities.

What You Bring:

• Experience: 3–6 years in Data Science, with a strong research background and a track record of publications.
• Expertise: Deep understanding of Statistics and Mathematics, particularly in the experimentation domain.
• Programming Skills: Proficiency in R, Python, Scala, Java, C++, or similar languages for simulations; SQL experience is a bonus.
• Communication: Excellent written and verbal communication skills.
• Personality: Creative, passionate, and collaborative.

Why Join Us?

• Work at the forefront of digital optimization and experimentation.
• Collaborate with a talented, dynamic team that values innovation.
• Gain exposure to a unique blend of research and business-driven projects.
• Make a direct impact on customer experiences and business outcomes.