Staff Data Scientist - Redwood City - Poshmark, Inc.

    Poshmark, Inc.
    Poshmark, Inc. Redwood City

    1 week ago

    $188,000 - $268,149 (USD) per year
    Description
    Staff Data Scientist page is loaded##

    Staff Data Scientistlocations:
    Redwood City, California, USAposted on: Posted 5 Days Agojob requisition id: R-200368*Confidence can sometimes hold us back from applying for a job


    Here's a secret:
    there's no such thing as a "perfect" candidate.

    Poshmark is looking for exceptional people who want to make a positive impact through their work and help create an organization where everyone can thrive.

    So whatever background you bring with you, please apply if this role would make you excited to come to work every day.


    Job Description:

    At Poshmark, we're passionate about harnessing the power of data to drive business impact. As a Lead Data Scientist, you'll tackle complex challenges in personalization, trust & safety, marketing optimization, and product experience. With over 130 million users generating billions of daily events, you'll be at the forefront of data science innovation, developing AI solutions that enhance our platform and delight our community.


    Responsibilities:

     Lead end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact through projects such as feed personalization, product recommendation systems, computer vision and GenAI.
    • Collaborate cross-functionally with ML engineers, product managers, and business stakeholders, to design and deploy high-impact models.
    • Develop scalable solutions for key areas of product, marketing, operations, and community functions.
    • Own the entire ML development lifecycle: data exploration, model development, deployment, and performance optimization.
    • Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.

    Must-Have Qualifications:

     5–8 years of experience building scalable data science solutions in a big data environment.
    • Hands-on experience with key machine learning algorithms, including CNNs, Transformers, and Vision Transformers.
    • Proficiency in Python, SQL, and Spark (Scala or PySpark), with experience in deep learning frameworks such as PyTorch or TensorFlow.
    • Solid understanding of linear algebra, statistics, probability, calculus, and A/B testing concepts.
    • Strong problem-solving skills and the ability to communicate complex technical ideas effectively to diverse audiences, including executives and engineers.

    Preferred Qualifications:

     Experience with personalization algorithms, recommendation systems, or user behavior modeling.
    • Familiarity with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) or Parameter-Efficient Fine-Tuning (PEFT).
      6-Month Accomplishments: Develop comprehensive understanding of Poshmark's data platform and key datasets.
    • Gained insights into challenges related to data scale and noise, implementing strategies to effectively leverage data in decision-making processes.
    • Demonstrated proficiency in Poshmark's machine learning systems by applying advanced algorithms to address a business use case.
    • Successfully prototype/enhance models aimed at improving key business metrics, contributing to data-driven solutions that support company objectives
      12+
    Month Accomplishments: Collaborated with ML engineers and other data scientists to establish best practices for managing and maintaining machine learning models in production, enhancing system reliability.
    • Successfully led the development and deployment of model for resolving business use case(s), contributing to overall company growth and success
    • Lead the adoption and application of cutting-edge AI trends and technologies, establishing Poshmark as a pioneer in data science.
    • Mentor junior scientists/engineers, fostering a culture of continuous learning and development within the team.

    Salary Range:

    $188, $268,149.00 AnnualPoshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

    View Poshmark's Job Applicant Privacy Policy .Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences.

    Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world.

    Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one-of-a-kind items, and building a more sustainable future for fashion.

    For more information, please visit , and for company news, visit .At Poshmark, we're constantly challenging the status quo and are looking for innovative and passionate people to help shape the future of Poshmark.

    We're disrupting the industry by combining social connections with e-commerce through data-driven solutions and the latest technology to optimize our platform.

    We're nothing without our amazing team who deliver an unparalleled social shopping experience to the millions of people we connect each day.

    We built Poshmark around four core values: 1) focus on people to create empowered communities that drive success; 2) together we grow to support each other to strive for our dreams; 3) lead with love to foster genuine connections built upon a foundation of respect; and 4) embrace your weirdness to accept and empower one another on their own unique journey. We're invested in our team and community, working together to build an entirely new way to shop. That way, when we win, we all win together. Come help us build the most connected shopping experience ever. We will set you up with comprehensive global and in-country benefits to support you and your family needs.
    #J-18808-Ljbffr
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