Grammarly is seeking a Data Scientist to join their Growth Data Science team to partner with stakeholders, design product experiments, and conduct complex analyses to inform product strategy through advanced analytics and machine learning. The goal is to uncover new insights to drive marketing, product, and growth strategies, and to break down complex business problems to provide high-visibility solutions.
Requirements
- Fluency in Python and SQL with strong data exploration and manipulation skills.
- Has a firm grasp on how to best dig into and analyze datasets that influence the product roadmap.
- Strong understanding of statistical methods, including causal inference, to support data-driven decision-making.
- Is well-versed in hypothesis A/B testing as well as exploratory methods, and can translate business questions into sound experimental frameworks and measurement plans.
- Experience building causal inference models in the product growth space.
Responsibilities
- Partner closely with growth product, engineering, design, growth, and lifecycle marketing teams.
- Build new metrics that deliver insights and expand our understanding of our users.
- Mine large datasets to uncover patterns across our users’ behaviors, enabling new marketing touchpoints.
- Design and run experiments to improve the user experience across our user lifecycle.
- Optimize marketing across our email, in-product, and push channels to ensure we send relevant, timely, personalized touchpoints to our users.
- Drive impact through statistical methodologies, algorithms, and measurement frameworks.
- Develop causal inference and machine learning models that deepen user insights and drive engagement, retention, and feature adoption.
Other
- Grammarly offers a dynamic hybrid working model for this role.
- Grammarly team members in this role need to be located within the New York City Metropolitan area.
- Has 4+ years of relevant work experience with a proven track record of applying data science methods that drive impact.
- Has a self-starting growth mindset and strong communication skills, translating technical insights into impactful business recommendations.
- Is a creative problem-solver who simplifies problems to their core elements.
- Ability to collaborate in person in the New York City hub.
