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Director Analytics/Data Science

Location: Redwood City, CA
Apply Here: https://grnh.se/7b4d146b1

Poshmark is the largest social marketplace for fashion where anyone can buy, sell and share their style with others. Poshmark’s mission is to make shopping simple and fun by connecting people around a shared love of fashion, while empowering entrepreneurs to become the next generation of retailers.
Through a range of Business Insights, Analytics and Data Science initiatives across all business areas, Data team plays a critical role in delivering value to our community. We are looking for a hands-on Data leader to join our team and help us scale the team to next level. You will report into VP Data and will have the opportunity to shape our Analytics and Data Science practice.
  • Identify, conceptualize and lead a range of insights, predictive modeling and data science projects across one or more of these areas: Product, Marketplace operations, Community Service and overall business operations. Responsible to provide direction, day-to-day management and technical review to the team of analysts and data scientists.
  • Lead small to large projects that inform both day-to-day tactical decisions and long-term strategic vision. Interpret and present the findings to company executives and other internal stakeholders as needed.
  • Identify new data instrumentation priorities and collaborate with data engineering team on the full execution from event modeling to data to Analytics ETL to Analytics tools/Analytics projects.
  • Partner with data engineering to determine the vision and roadmap for analytics and data science technology infrastructure that ensures reliable delivery of high-quality data and insights products.
  • Manage and further develop on existing and new analytics and data science technologies to enable easy access to key data insights through a range of dashboards.
  • Evaluate external data and analytics platform vendors and bring-in new data/analytics platform partners as needed to provide an exponential boost to value delivered by Data team.
  • Lead development and implementation of scalable algorithms for a range of business problems such as buyer activation, buyer retention, predicting next purchase, similar listings, inferring search query and user churn.  
  • Represent the work of the Data team across the company, serving as a bridge, buffer, and conduit between technical and non-technical groups.
  • Build deep partnerships with business, product management, and technology leaders.
  • Promote a culture of excellence, data driven discussions, healthy skepticism, knowledge sharing, team-work, growth mindset and fun environment.
  • Lead, hire, manage and mentor a team of analysts and data scientists. Invest in developing team’s skill set and create growth opportunities for personalized career development.
  • Present in external conferences, publish innovative work and write blog posts
  • 10 - 12 years of experience in analytics, data science and business intelligence with increasing responsibility and at least 5 years in management and leadership capacity.
  • Have demonstrated strong business acumen and excellent business executive communication skills. Proven success with translating a business problem into a Data Solution design of varying complexities.
  • Solid experience in managing teams on internal/external delivery of short to long-term advanced analytics and data science projects.
  • Hands on experience working with Big data, ideally clickstream data, in Big data volume sectors such as e-commerce, gaming, social network etc.
  • Ability to translate and present complex analysis in executive summaries. Excellent communication and project management skills.
  • Domain expertise in subjects such as activation modeling, acquisition attribution, customer lifetime value, retention and attrition models, survival models, and experimental design (Multivariate/A-B testing).
  • Strong understanding of data warehouse and data integration architectures and tools.
  • Hands-on experience with at least few of the traditional and recent data science and modeling methodologies - linear/non-linear modeling, multiple regression, decision trees, random forest, neural net models, SVM, Ensembling models, deep learning algorithm and nonparametric bayesian modeling etc will be a huge plus.
  • Experience with Spark-SQL, Spark ML, Hive, Python, and R. Proficiency will be a strong plus.
  • M.S. in Statistics, Applied Mathematics, Computer Science or a related field.
  • Experience in ecommerce industry is a big plus.
  • Ability to balance long-term strategic priorities with short-term tactical needs.
  • Passionate, approachable, thoughtful, respectful to our team and community.
  • Thrilled with challenges, unknowns and opportunity to define and build things.
  • Love mentoring and guiding others. Passionate about the advancement of the whole team.
Please note that Poshmark will not be able to sponsor work-related visa for this role.
Why Poshmark?
Founded in 2011, Poshmark is the largest social marketplace for fashion where anyone can buy, sell and share their style with others. Poshmark’s mission is to make shopping simple and fun by connecting people around a shared love of fashion, while empowering entrepreneurs to become the next generation of retailers. Recognized as the go-to shopping destination for millennials, Poshmark’s community of over four million Seller Stylists help shoppers discover the perfect look from over 75 million items and 5,000 brands. The company is backed by the world’s leading investment firms and venture capital institutions including Mayfield, Menlo Ventures, GGV Capital, Temasek, Inventus Capital, Uncork Capital, Union Grove Venture Partners, Shea Ventures and AngelList. For more information, please visit www.poshmark.com, or find us on Instagram, Facebook, Twitter, Pinterest and Snapchat.
Here’s what we’ll set you up with:
  • A team that is invested in your career growth and training
  • Competitive salary and equity, based on experience
  • Company sponsored health, dental and vision plans
  • A MacBook and smartphone reimbursement
  • Work alongside world-class talent
  • Flexible Vacation / Paid Time Off Policy
  • Parental Leave
  • Healthy and exciting lunches and snacks offered daily
  • Personal Style Encouraged (or not, whatever you’re in to)
  • Fun company happy hours, parties, and offsite events
Apply Here: https://grnh.se/7b4d146b1
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