Senior Data Scientist

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:

Develop Advanced Algorithms for Optimization and Experimentation:

• Dive deep into research papers and transform complex theories into actionable models.
• Build and run simulations to validate algorithm efficacy.
• Tackle exciting challenges such as personalization, multivariate testing, and generating insights from A/B test data.

Build and Deploy Intelligent Products:

• Collaborate with developers and product managers to design user-centric features.
• Simplify complex data insights and hyperparameters to make them accessible to customers.
• Shape new products that address critical customer needs.

Enhance and Maintain Core Statistical Engines:

• Continuously improve our Bayesian statistical A/B testing engine.
• Solve real-world customer issues like outlier detection, sample ratio mismatches, and A/A test anomalies.
• Develop innovative features based on emerging customer requirements.

Engage with Customers to Address Needs and Challenges:

• Collaborate directly with customers to gather first-hand feedback and insights.
• Educate users on experimentation nuances and support statistical inquiries.
• Use customer inputs to inform and drive research initiatives.

Explore New Research Frontiers:

• Conduct personal research to discover novel statistical methods.
• Identify trends and innovations in experimentation through competitor analysis.
• 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.

A Typical Day Could Include:

• Enhancing VWO's statistical engine for greater performance and reliability.
• Conducting competitor research to uncover new trends and methodologies.
• Designing tools and methods to support continuous optimization.
• Assisting customer-facing teams with statistical challenges.
• Exploring new statistical approaches to refine our products.

Join Us:

If you’re passionate about blending rigorous research with customer-centric product development, we’d love to hear from you. Apply today and help shape the future of digital experience optimization.