Data Scientist Careers at Grammarly - San Francisco, CA | Apply Now!
Grammarly
Data Scientist Careers at Grammarly - San Francisco, CA | Apply Now!
Job Description
Data Scientist Careers at Grammarly - San Francisco, CA | Apply Now!
Role Overview
Grammarly, now part of Superhuman, the leading AI productivity platform, is seeking experienced Data Scientists to join our Product and Growth Data Science teams in San Francisco, CA. This hybrid role offers the perfect blend of focused deep work and collaborative in-person interactions to drive innovation and team culture. As a Data Scientist at Grammarly, you'll be a trusted expert uncovering insights from massive datasets to shape marketing, product, and growth strategies. With products like Grammarly's writing assistance, Coda's workspaces, Superhuman Mail, and the proactive AI agent Go, we empower 40 million users worldwide. If you're passionate about data-driven decision-making in a fast-paced AI environment, this senior-level position provides high visibility and impact.
Our Growth Data Scientists partner with product, engineering, growth, and marketing teams to design experiments and deliver advanced analytics. Product Data Scientists evaluate end-to-end product quality, from AI text suggestions to user interfaces, collaborating with PMs, engineers, designers, and ML experts. Located in the heart of San Francisco's tech scene, this role requires Bay Area residency for hybrid work. Join us to eliminate busywork and unlock superhuman potential.
Key Responsibilities
- Design, launch, and analyze A/B tests and experiments to optimize product features and growth funnels.
- Develop machine learning models for predictive analytics on user engagement and retention.
- Conduct deep-dive analyses on large datasets to identify trends and opportunities.
- Build interactive dashboards using tools like Tableau or Looker for stakeholder reporting.
- Collaborate cross-functionally with product managers, engineers, and designers on data-driven iterations.
- Evaluate AI feature performance, including accuracy, usefulness, and stickiness.
- Partner with growth teams to inform lifecycle marketing strategies through insights.
- Perform statistical hypothesis testing and causal inference for robust recommendations.
- Mentor team members on best practices in experimentation and analytics.
- Influence product roadmap with high-impact, data-backed insights.
- Ensure data pipelines are scalable and maintain high quality standards.
- Stay ahead of industry trends in AI, ML, and product analytics.
- Present findings to executive leadership for strategic alignment.
Qualifications
- Advanced degree in Data Science, Statistics, Computer Science, or equivalent.
- 5+ years in data science roles focused on product or growth.
- Proficiency in Python, R, SQL, and data tools like Pandas, Scikit-learn.
- Strong experience with experimentation frameworks and A/B testing.
- Expertise in ML, NLP, and statistical modeling.
- Proven ability to translate data into business strategies.
- Bay Area based for hybrid schedule.
- Cross-functional collaboration experience.
- Comfort with ambiguity and rapid iteration.
- Excellent communication skills.
Salary & Benefits
Competitive salary range of $160,000 - $240,000 USD yearly, plus equity. Benefits include hybrid flexibility, full health coverage, 401(k) match, unlimited PTO, parental leave, wellness stipends, and more. Learn about our values.
Why Join Grammarly?
Grammarly/Superhuman is transforming productivity with AI integrated into 1M+ apps. Work on groundbreaking products serving 40M users. Enjoy SF hybrid perks, ownership, and a culture of trust. Visit superhuman.com.
How to Apply
Submit resume and portfolio via our careers page. Highlight data projects and impact.
Locations
- San Francisco, California, United States
Salary
168,000 - 264,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- SQLintermediate
- Machine Learningintermediate
- Statistical Analysisintermediate
- Data Visualizationintermediate
- A/B Testingintermediate
- Experiment Designintermediate
- Big Data Processingintermediate
- Pandasintermediate
- Scikit-learnintermediate
- Tableauintermediate
- Lookerintermediate
- Hypothesis Testingintermediate
- Predictive Modelingintermediate
- Natural Language Processingintermediate
- Time Series Analysisintermediate
- ETL Pipelinesintermediate
- Cloud Computing (AWS/GCP)intermediate
- Data Warehousingintermediate
Required Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field (experience)
- 5+ years of professional experience as a Data Scientist in product or growth teams (experience)
- Expertise in Python, R, and SQL for data analysis and modeling (experience)
- Proven track record of designing and analyzing A/B experiments (experience)
- Strong experience with machine learning algorithms and statistical methods (experience)
- Ability to communicate complex data insights to non-technical stakeholders (experience)
- Experience working with large-scale datasets and big data tools (experience)
- Familiarity with product analytics platforms like Amplitude or Mixpanel (experience)
- Background in growth marketing or product strategy analysis (experience)
- Excellent problem-solving skills for complex business challenges (experience)
- Must be based in the San Francisco Bay Area for hybrid work (experience)
- Experience collaborating with PMs, engineers, and designers cross-functionally (experience)
Responsibilities
- Design and execute A/B tests and multivariate experiments for product features
- Conduct advanced statistical analyses to uncover growth opportunities
- Build predictive models using machine learning to inform product strategy
- Partner with product managers to define success metrics and KPIs
- Analyze user behavior data to improve AI features and user experiences
- Create dashboards and visualizations for executive-level reporting
- Collaborate with engineering teams to implement data-driven product improvements
- Evaluate product quality from suggestion accuracy to feature stickiness
- Identify insights from large datasets to drive marketing and growth initiatives
- Work with ML engineers on integrating AI models into products
- Provide data-backed recommendations influencing company roadmap
- Mentor junior data scientists and share best practices
- Monitor experiment results and iterate on hypotheses rapidly
- Ensure data integrity and quality in all analyses
Benefits
- general: Dynamic hybrid work model with focus time and in-person collaboration
- general: Competitive salary with equity in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement savings plans
- general: Unlimited PTO and flexible vacation policy
- general: Generous parental leave and family benefits
- general: Home office stipend and equipment allowance
- general: Professional development budget for courses and conferences
- general: Weekly team lunches and social events in SF
- general: Mental health support and wellness programs
- general: Relocation assistance for Bay Area moves
- general: Access to cutting-edge AI tools and products
- general: Strong team culture fostering trust and innovation
- general: Opportunities for ownership and high-impact projects
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist Careers at Grammarly - San Francisco, CA | Apply Now! @ Grammarly.
Related Books and Jobs
Data Scientist Careers at Grammarly - San Francisco, CA | Apply Now!
Grammarly
Data Scientist Careers at Grammarly - San Francisco, CA | Apply Now!
Job Description
Data Scientist Careers at Grammarly - San Francisco, CA | Apply Now!
Role Overview
Grammarly, now part of Superhuman, the leading AI productivity platform, is seeking experienced Data Scientists to join our Product and Growth Data Science teams in San Francisco, CA. This hybrid role offers the perfect blend of focused deep work and collaborative in-person interactions to drive innovation and team culture. As a Data Scientist at Grammarly, you'll be a trusted expert uncovering insights from massive datasets to shape marketing, product, and growth strategies. With products like Grammarly's writing assistance, Coda's workspaces, Superhuman Mail, and the proactive AI agent Go, we empower 40 million users worldwide. If you're passionate about data-driven decision-making in a fast-paced AI environment, this senior-level position provides high visibility and impact.
Our Growth Data Scientists partner with product, engineering, growth, and marketing teams to design experiments and deliver advanced analytics. Product Data Scientists evaluate end-to-end product quality, from AI text suggestions to user interfaces, collaborating with PMs, engineers, designers, and ML experts. Located in the heart of San Francisco's tech scene, this role requires Bay Area residency for hybrid work. Join us to eliminate busywork and unlock superhuman potential.
Key Responsibilities
- Design, launch, and analyze A/B tests and experiments to optimize product features and growth funnels.
- Develop machine learning models for predictive analytics on user engagement and retention.
- Conduct deep-dive analyses on large datasets to identify trends and opportunities.
- Build interactive dashboards using tools like Tableau or Looker for stakeholder reporting.
- Collaborate cross-functionally with product managers, engineers, and designers on data-driven iterations.
- Evaluate AI feature performance, including accuracy, usefulness, and stickiness.
- Partner with growth teams to inform lifecycle marketing strategies through insights.
- Perform statistical hypothesis testing and causal inference for robust recommendations.
- Mentor team members on best practices in experimentation and analytics.
- Influence product roadmap with high-impact, data-backed insights.
- Ensure data pipelines are scalable and maintain high quality standards.
- Stay ahead of industry trends in AI, ML, and product analytics.
- Present findings to executive leadership for strategic alignment.
Qualifications
- Advanced degree in Data Science, Statistics, Computer Science, or equivalent.
- 5+ years in data science roles focused on product or growth.
- Proficiency in Python, R, SQL, and data tools like Pandas, Scikit-learn.
- Strong experience with experimentation frameworks and A/B testing.
- Expertise in ML, NLP, and statistical modeling.
- Proven ability to translate data into business strategies.
- Bay Area based for hybrid schedule.
- Cross-functional collaboration experience.
- Comfort with ambiguity and rapid iteration.
- Excellent communication skills.
Salary & Benefits
Competitive salary range of $160,000 - $240,000 USD yearly, plus equity. Benefits include hybrid flexibility, full health coverage, 401(k) match, unlimited PTO, parental leave, wellness stipends, and more. Learn about our values.
Why Join Grammarly?
Grammarly/Superhuman is transforming productivity with AI integrated into 1M+ apps. Work on groundbreaking products serving 40M users. Enjoy SF hybrid perks, ownership, and a culture of trust. Visit superhuman.com.
How to Apply
Submit resume and portfolio via our careers page. Highlight data projects and impact.
Locations
- San Francisco, California, United States
Salary
168,000 - 264,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- SQLintermediate
- Machine Learningintermediate
- Statistical Analysisintermediate
- Data Visualizationintermediate
- A/B Testingintermediate
- Experiment Designintermediate
- Big Data Processingintermediate
- Pandasintermediate
- Scikit-learnintermediate
- Tableauintermediate
- Lookerintermediate
- Hypothesis Testingintermediate
- Predictive Modelingintermediate
- Natural Language Processingintermediate
- Time Series Analysisintermediate
- ETL Pipelinesintermediate
- Cloud Computing (AWS/GCP)intermediate
- Data Warehousingintermediate
Required Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field (experience)
- 5+ years of professional experience as a Data Scientist in product or growth teams (experience)
- Expertise in Python, R, and SQL for data analysis and modeling (experience)
- Proven track record of designing and analyzing A/B experiments (experience)
- Strong experience with machine learning algorithms and statistical methods (experience)
- Ability to communicate complex data insights to non-technical stakeholders (experience)
- Experience working with large-scale datasets and big data tools (experience)
- Familiarity with product analytics platforms like Amplitude or Mixpanel (experience)
- Background in growth marketing or product strategy analysis (experience)
- Excellent problem-solving skills for complex business challenges (experience)
- Must be based in the San Francisco Bay Area for hybrid work (experience)
- Experience collaborating with PMs, engineers, and designers cross-functionally (experience)
Responsibilities
- Design and execute A/B tests and multivariate experiments for product features
- Conduct advanced statistical analyses to uncover growth opportunities
- Build predictive models using machine learning to inform product strategy
- Partner with product managers to define success metrics and KPIs
- Analyze user behavior data to improve AI features and user experiences
- Create dashboards and visualizations for executive-level reporting
- Collaborate with engineering teams to implement data-driven product improvements
- Evaluate product quality from suggestion accuracy to feature stickiness
- Identify insights from large datasets to drive marketing and growth initiatives
- Work with ML engineers on integrating AI models into products
- Provide data-backed recommendations influencing company roadmap
- Mentor junior data scientists and share best practices
- Monitor experiment results and iterate on hypotheses rapidly
- Ensure data integrity and quality in all analyses
Benefits
- general: Dynamic hybrid work model with focus time and in-person collaboration
- general: Competitive salary with equity in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching and retirement savings plans
- general: Unlimited PTO and flexible vacation policy
- general: Generous parental leave and family benefits
- general: Home office stipend and equipment allowance
- general: Professional development budget for courses and conferences
- general: Weekly team lunches and social events in SF
- general: Mental health support and wellness programs
- general: Relocation assistance for Bay Area moves
- general: Access to cutting-edge AI tools and products
- general: Strong team culture fostering trust and innovation
- general: Opportunities for ownership and high-impact projects
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist Careers at Grammarly - San Francisco, CA | Apply Now! @ Grammarly.
Related Books and Jobs