Data Scientist

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Responsibilities:

• Analyze product usage patterns to better understand how users are interacting with our products and surfaces.
• Partner closely with product and engineering teams to find opportunities to improve our free trial, user onboarding, and skill-building experiences.
• Identify and optimize PLG success metrics including free-to-paid conversion, activation, engagement, and retention rates.
• Design and analyze A/B tests and multivariate experiments to refine product features and improve user experiences.
• Use statistical methods to validate hypotheses and ensure reliable experimentation results.
• Develop models to support revenue attribution for test variant winners, propensity to convert, and customer churn.
• Build user segmentation models to identify high-value user cohorts.
• Collaborate with data engineers to deploy efficient data pipelines to inform accurate & timely decision making.
• Build and maintain dashboards to support self-service access to test results and insights.
• Act as a trusted advisor to PLG partners, translating complex data insights into actionable strategies.

Requirements:

• MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics.
• 5 - 10+ years of relevant data science experience.
• Deep understanding of PLG strategies and metrics.
• Strong understanding of statistical techniques, hypothesis testing, and machine learning.
• Proficiency in SQL and programming languages like Python or R for data analysis and modeling.
• Experience with data visualization tools like Tableau, Power BI, or Adobe Analytics.
• Strong analytical and problem-solving skills.
• Experience addressing executive-level partners.
• Experience in designing and analyzing growth experiments for enterprise software a plus.
• Familiarity with Adobe’s Creative Cloud suite and ecosystems a plus.

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.