Data Scientist, Acquisition

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data.

We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI.

To achieve our ambitious goals, we’re looking for a Data Scientist to join our incredible team and work on core marketing measurement and optimization projects. The ideal candidate will have strong technical expertise and marketing domain knowledge and collaborate with cross-functional teams to develop solutions and drive data-driven actions. The person in this role will advance our statistical rigor, testing, and measurement methodologies, define a framework to measure the impact of our marketing channels, leverage Grammarly’s internal data and Google Ads platform data to solve ambiguous marketing problems and provide data-driven solutions.

The Grammarly data teams are trusted subject matter experts who uncover new insights to inform marketing, product, and growth strategies. We have large datasets and are looking for folks with deep technical and analytical skills who can break down complex business problems and provide solutions with high impact and visibility for marketing and the company. Our teams have the freedom to innovate and uncover breakthroughs—and, in turn, influence the marketing roadmap.

As a Data Scientist, you will:

• Lead testing and measurement efforts for our key online marketing channels, especially paid searches, such as Google and Bing.
• Develop cross-channel measurement models such as Media Mix Modeling  to optimize budget allocation.
• Collaborate with Engineering and Marketing teams to drive LTV bidding optimizations and their impact measurement for our digital marketing channels.
• Measure the effectiveness of Individual Marketing channels and Cross-Channels by building/leveraging different attribution models and experimentation methods.
• Devise a solution to inform marketing strategy and drive measurement in a cookieless world.
• Analyze the impact of our overall marketing budget to understand its full-funnel impact and how it influences Grammarly for Business conversions.
• Run elasticity analysis to drive discussions and identify opportunities for spending re-allocation across countries.
• Conduct deep-dive analyses into marketing channel performance and user behavior.

• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
• Is able to collaborate in person 3 weeks per quarter, traveling if necessary to the hub where the team is based.
• Has 8+ years of relevant work experience.
• Has experience as an influential and effective thought partner to marketing teams.
• Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
• Has strong analytical and critical thinking skills and a strong bias toward actionable insights.
• Has the ability to work in a fast-paced, dynamic environment.
• Has practical experience in data analysis, statistics, and marketing measurement.
• Is proficient in SQL, Python, R, Scala, or an equivalent language.

• Professional growth:
  We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular…