Zeplin
Senior Data Scientist, Product Analytics
Zeplin, San Francisco, California, United States, 94199
[Full Time] Senior Data Scientist, Product Analytics at Zeplin (United States)
Senior Data Scientist, Product AnalyticsZeplin United States
Date Posted: 02 Sep, 2022
Work Location: San Francisco, United States
Salary Offered: Not Specified
Job Type: Full Time
Experience Required: No experience required
Remote Work: Yes
Stock Options: No
Vacancies: 1 available
As the Zeplin crew, we’re building an app used by tens of thousands of product teams daily. While creating a common language for our fellow designers and developers, we care deeply about building a product that delights them.
This is an exciting time for Data @ Zeplin! Our data teams are growing quickly to keep pace with the needs of the business as it scales. As an early member of the Data Science & Analytics crew, you will set the tone for how we use data to drive product innovation and will be instrumental in nurturing a healthy data-informed culture.
This is a technical full-stack analytics role. You will have end-to-end responsibilities, from defining how data is captured, structured and modeled; to conducting deep-dive analyses and partnering with cross-functional leaders to implement changes based on your recommendations. You will have the opportunity to work on a wide range of high-visibility initiatives, and make material contributions to the success of Zeplin’s product and business.
Responsibilities
Work closely with product groups to define, measure and report on core product metrics; define standard practices for how we monitor and evaluate new releases.
Perform deep-dive analyses, investigate key patterns in user behavior and surface insights to inform product strategy and roadmap.
Partner with Growth team to design, execute and analyze user-facing experiments.
Work with Engineering to define tracking and instrumentation requirements.
Collaborate with GTM teams to understand engagement within key strategic accounts, and identify leading indicators of retention and churn.
Build internal-facing data products — dashboards, apps, curated data sets, analysis frameworks, etc. — to promote data literacy company-wide.
Lead initiatives within data team to optimize tooling, automate workflows, improve collaboration and knowledge sharing, etc.
About You
Flexible, motivated, and thrive in a dynamic, entrepreneurial environment.
Curious but skeptical. You can sense it when the data doesn’t smell right.
Scrappy but not sloppy.
Cross-functional. You’re comfortable partnering directly with stakeholders to achieve results and collaborate effectively with both technical and non-technical teams.
Problem solver. Unsolved puzzles irk you.
Qualifications
If you don't think you meet all of the criteria below but are still interested, please apply. Nobody checks every box. We are looking for the right fit, not the perfect resume.
Advanced degree in Statistics, Economics, Mathematics, Computer Science, Physics, or a related quantitative field
5+ years of experience in analytics, data science or similar role.
Fluent in SQL, and strong proficiency with Python (or R)
Expertise in applied statistics (e.g. predictive modeling, regressions), segmentation and experimentation (e.g. A/B testing).
Experience with data visualization tools like Tableau, Mode, Looker, Metabase, etc.
Familiarity with event data and product analytics platforms (Mixpanel, Amplitude, Heap, etc.)
Our Stack
Fivetran
Snowflake
Airflow
DBT
Hightouch
HEX / Metabase
Mixpanel
#LI-Remote
About Zeplin
Zeplin is a connected space for product teams to share designs, generate specs, assets, and code snippets. We’ve reached over 5 million users from thousands of product teams, including Airbnb, Dropbox, Pinterest, Microsoft, and many more. We’re a Y Combinator startup backed by notable investors like Elad Gil, Mike Maples, and Kevin Hale. We’re a small, distributed crew with offices in San Francisco, Istanbul, and London.
Zeplin started as one piece of the product development cycle. And now designers and engineers interact at every point, from idea to production. Our goal is to help with all the issues that product teams might face in this process.
#J-18808-Ljbffr
Senior Data Scientist, Product AnalyticsZeplin United States
Date Posted: 02 Sep, 2022
Work Location: San Francisco, United States
Salary Offered: Not Specified
Job Type: Full Time
Experience Required: No experience required
Remote Work: Yes
Stock Options: No
Vacancies: 1 available
As the Zeplin crew, we’re building an app used by tens of thousands of product teams daily. While creating a common language for our fellow designers and developers, we care deeply about building a product that delights them.
This is an exciting time for Data @ Zeplin! Our data teams are growing quickly to keep pace with the needs of the business as it scales. As an early member of the Data Science & Analytics crew, you will set the tone for how we use data to drive product innovation and will be instrumental in nurturing a healthy data-informed culture.
This is a technical full-stack analytics role. You will have end-to-end responsibilities, from defining how data is captured, structured and modeled; to conducting deep-dive analyses and partnering with cross-functional leaders to implement changes based on your recommendations. You will have the opportunity to work on a wide range of high-visibility initiatives, and make material contributions to the success of Zeplin’s product and business.
Responsibilities
Work closely with product groups to define, measure and report on core product metrics; define standard practices for how we monitor and evaluate new releases.
Perform deep-dive analyses, investigate key patterns in user behavior and surface insights to inform product strategy and roadmap.
Partner with Growth team to design, execute and analyze user-facing experiments.
Work with Engineering to define tracking and instrumentation requirements.
Collaborate with GTM teams to understand engagement within key strategic accounts, and identify leading indicators of retention and churn.
Build internal-facing data products — dashboards, apps, curated data sets, analysis frameworks, etc. — to promote data literacy company-wide.
Lead initiatives within data team to optimize tooling, automate workflows, improve collaboration and knowledge sharing, etc.
About You
Flexible, motivated, and thrive in a dynamic, entrepreneurial environment.
Curious but skeptical. You can sense it when the data doesn’t smell right.
Scrappy but not sloppy.
Cross-functional. You’re comfortable partnering directly with stakeholders to achieve results and collaborate effectively with both technical and non-technical teams.
Problem solver. Unsolved puzzles irk you.
Qualifications
If you don't think you meet all of the criteria below but are still interested, please apply. Nobody checks every box. We are looking for the right fit, not the perfect resume.
Advanced degree in Statistics, Economics, Mathematics, Computer Science, Physics, or a related quantitative field
5+ years of experience in analytics, data science or similar role.
Fluent in SQL, and strong proficiency with Python (or R)
Expertise in applied statistics (e.g. predictive modeling, regressions), segmentation and experimentation (e.g. A/B testing).
Experience with data visualization tools like Tableau, Mode, Looker, Metabase, etc.
Familiarity with event data and product analytics platforms (Mixpanel, Amplitude, Heap, etc.)
Our Stack
Fivetran
Snowflake
Airflow
DBT
Hightouch
HEX / Metabase
Mixpanel
#LI-Remote
About Zeplin
Zeplin is a connected space for product teams to share designs, generate specs, assets, and code snippets. We’ve reached over 5 million users from thousands of product teams, including Airbnb, Dropbox, Pinterest, Microsoft, and many more. We’re a Y Combinator startup backed by notable investors like Elad Gil, Mike Maples, and Kevin Hale. We’re a small, distributed crew with offices in San Francisco, Istanbul, and London.
Zeplin started as one piece of the product development cycle. And now designers and engineers interact at every point, from idea to production. Our goal is to help with all the issues that product teams might face in this process.
#J-18808-Ljbffr