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Data Scientist
Data ScientistNextdoor • San Francisco, CA, United States
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Data Scientist

Data Scientist

Nextdoor • San Francisco, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

#Team Nextdoor

Nextdoor (NYSE : NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com .

Meet Your Future Neighbors

As a Data Scientist 4 at Nextdoor, you'll apply statistical methods, machine learning, and quantitative analysis to conduct exploratory analysis, develop predictive models, and inform operational strategies. In this role, you'll apply data mining and data modeling to extract and analyze information from large structured and unstructured datasets.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees.

The Impact You'll Make

If you want the challenge of fast-paced growth, the satisfaction of seeing your design work come to life, and the pride in helping grow a world-class design team, this is the place for you.

Your responsibilities will include :

  • Collect, organize, interpret, and analyze statistical and behavioral data to support the design, improvement and scaling of Company's core products
  • Develop and execute A / B tests and other experimentation frameworks to evaluate the impact of product changes on key metrics such as engagement and retention
  • Communicate insights through advanced data visualization to influence strategic decision-making and product roadmaps
  • Conduct causal inference studies to deeply understand Company's user behavior, engagement patterns, dynamics of local communities, and acquisition pattern
  • Build scalable data solutions, including Extract, Transform, Load (ETL) pipeline and distributed data systems, to process and analyze large and complex datasets efficiently
  • Partner with cross-functional teams (including Product, Engineering and User Experience Research teams) to identify opportunities, solve complex problems, and inform the development of features that foster meaningful neighbor-to-neighbor connections

What You'll Bring To The Team

  • Master's degree or foreign equivalent in Computer Science, Information Systems, Engineering, or closely related quantitative discipline
  • 3 years of experience in the position offered, as a Data Scientist, or closely related position in data sciences
  • In the alternative, will accept a Bachelor's degree in the fields above followed by five (5) years of progressive, post-bachelor's experience in positions specified above
  • Must have experience in the following : Utilizing advanced statistical methods and quantitative techniques such as clustering, regression, pattern recognition, and inferential statistics to conduct exploratory analysis, develop and improve predictive models, and provide actionable recommendations to optimize product initiatives and generate data-driven business strategies; Leveraging Python, SQL and statistical tools such as MATLAB, R, and SAS to analyze large, complex datasets through data mining, manipulation, analysis, and modeling, ensuring data reliability to drive business growth; Designing trustworthy experimentation and analyzing complex product A / B testing results to evaluate the effectiveness of product strategies and provide data-driven insights to guide decision-making; Designing, constructing, and deploying scalable ETL (extraction, transformation, and loading) pipelines and data processing frameworks to develop metrics and dashboards that drive data-informed product strategy; Leading the execution of key ecosystem strategies, including developing new capabilities like customer segment frameworks, to drive growth and optimize product performance; Utilizing advanced data analysis to generate strategic insights, assessing product team performance and impact to inform decision-making and guide improvements; Collaborating with cross-functional teams (product, design, engineering, marketing, and operations) to apply advanced analytics in support of product development, ensuring alignment with business goals; and Utilizing strong communication skills to simplify complex problems and present clear, compelling narratives to diverse audiences, including executives
  • Rewards

    Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.

    The starting salary for this role is expected to range from $214,000 - $225,000 / year on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

    We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

    When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

    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 serve. We encourage everyone interested in our mission 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.

    For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

    #LI-DNI

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