Lead Data Scientist
PoshmarkAbout the role
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.
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.
Must-Have Qualifications:
7–10 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).
Salary Range:
$167,200.00 - $237,300.00 AnnualAbout Us
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, helpin
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