Data Scientist - Marketing
San Francisco, CA (Remote)
#TeamNextdoor
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.
Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 275,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
At Nextdoor, our Growth Marketing team is charged with driving member growth and revenues from businesses advertising on the platform. This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform. We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions.
You will design/deploy complex models and best practices with regards to experimentation, measurement and reporting of results. You will bring a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with many leaders and stakeholders including but not limited to finance, data science, marketing, engineering, and product.
The Impact You’ll Make
You will have an opportunity to work in a growth focused organization and make a huge impact by optimizing how we use a multi-million dollar marketing budget. Your work will come to life through strategic/analytical thinking, operational excellence and creatively solving complex business problems. The team is responsible for the growth of the number of neighbors joining the platform but also the number of businesses joining the platform to advertise to different communities.
Your responsibilities will include:
- Fluency as a full-stack data scientist which will enable Nextdoor to make data-driven marketing decisions -- from strategy to ideation to performance monitoring. There are multiple roles available on our Growth Marketing team that tap into many aspects of data science
- Build growth, engagement, and revenue optimization models using a wealth of well-structured in-house data
- Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies
- Own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion. Defining success metrics that capture performance and identify actionable insights
- Identify where we can invest in 3rd party data to enrich our decision making capabilities
- Build out required performance measurement tools and dashboards
- Educate stakeholders by explaining the “Why” behind the “What”
What You’ll Bring To The Team
- 2-3 years of expertise in quantitative analysis, ability to tell a story backed by data using data mining methods
- 2-3 years of experience using in-depth applied statistics and analytical experience in partnership with Marketing teams to optimize decision making
- Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions
- Ability to pull together your own datasets with strong SQL skills and knowledge of analytical programming languages including R or Python to conduct statistical analyses
- Experience building predictive models using machine learning algorithms
- Familiarity with experiment design and A/B test analysis including measurement selection
- Can communicate effectively with a range of stakeholders
- Curiosity for discovery and creativity in solving complex challenges
Bonus Points
- Familiarity with marketing in the B2B space
- Experience with complex attribution solutions
- Worked with data vendors to enrich data
- Knowledge of online advertising and ad tech space; robust understanding of online advertising best practices
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
#LI-Remote* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Mining Engineering Finance Machine Learning Python R SQL Statistics
Perks/benefits: Career development
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