Job Description :

Poshmark is looking for a highly motivated teammate ready to play a key role as a Senior Data Scientist.

Responsibilities :

• senior Data Scientist helps to develop a vision, business case, modeling spec, and operational project plans for end-to-end ML solution.
• In partnership with data leaders and ML engineering team, lead hands-on development of data science/machine learning models for high business impact opportunities across all business areas.
• Work on all stages of a data science / ML project – exploration and conceptualization, POC (proof of concept), data preparation, model development, and testing, deployment, monitoring, and debugging continuous improvement.
• Partner with product, data engineering, and ML engineering teams to ensure seamless productization of developed algorithms and management of full model cycle for business application.
• Follow best practices for developing, managing, maintaining, and documenting machine learning models and all related work.
• Develop a deep understanding of different business functions and core KPI to ensure that the data science solution fits the business need.
• Define and abstract standard building blocks for usage across multiple ML algorithms. Lead productization, development, and maintenance of these. For example, feature library, model testing automation, model validation, and recommendation automation.
• Innovate new solutions for unique challenges facing Poshmark. Publish academic papers, white papers, blog posts, and present in leading conferences.

Qualification :

• 4+ years of hands-on experience in building scalable Machine Learning based solutions in a Big Data environment.
• Fluency in all steps of the data science solution development cycle from business problem identification to business value delivery.
• Ability to do insightful data analysis both pre and post ML model development to estimate impact, establish feasibility, understand model performance, validate the hypothesis, and answer questions from stakeholders.
• Expert level hands-on/applied knowledge of key machine learning algorithms.
• Ability to choose a technique based on the problem and the data, ability to debug, and reason about why a model may not be working as expected.
• Expert hands-on knowledge of Python and data science / ML packages.
• Expert hands-on knowledge of SQL with the ability to write readable and efficient queries for complex data crunching.
• Hands-on experience in using Spark (Scala or Pyspark) to process data on a large scale.
• Hands-on experience in using MS Excel to do quick exploratory data analysis using basic functions, pivot tables, and charts.
• Experience partnering with ML engineering teams in deploying ML models to production.
• Strong business/product sense and excellent verbal and written communication skills for a variety of audiences: executive teams, product managers, engineers, and business leaders.
• Excellent problem-solving skills coupled with a passion to solve challenging problems using data science/ML with a focus on delivering business value.
• Ph.D. or MS in a relevant quantitative field such as Statistics, Math, Computer Science is a huge plus.

About Us :

Poshmark is a leading social commerce platform for the next generation of retailers and shoppers. Through technology, our mission is to build the world’s most connected shopping experience, while empowering people to build thriving retail businesses. Since launching in 2011, Poshmark has become a vibrant social shopping community with seven million Seller Stylists helping 60 million users discover items they love from over 100 million items. The company is backed by the world’s leading investment firms 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 YouTube.