Senior Data Scientist II

Poshmark; Chennai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading e-commerce platform is seeking a Senior Data Scientist II to leverage data and AI to drive impactful business solutions. The ideal candidate will have 6-9 years of experience in building scalable data science solutions, with strong proficiency in Python and machine learning algorithms. This full-time role involves collaboration with cross-functional teams to deliver high-impact models and solutions, and it offers the opportunity to work at the forefront of data science innovation in a dynamic environment.

Qualifications

• 6-9 years of experience in data science in a big data environment.
• Hands-on machine learning knowledge including CNNs and Transformers.
• Proficiency in Python and SQL, familiarity with deep learning frameworks.

Responsibilities

• Drive end-to-end data science initiatives for business impact.
• Collaborate with teams to design and deploy models.
• Own the ML development lifecycle, from data exploration to deployment.

Skills

Building scalable data science solutions

Machine Learning algorithms

Collaboration and communication skills

Tools

Python

SQL

Spark (Scala or PySpark)

PyTorch

TensorFlow

Job description

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Job Description

Senior Data Scientist II - Are you passionate about the power of data and excited to leverage cutting-edge AI/ML to drive business impact? At Poshmark, we tackle complex challenges in personalization, trust & safety, marketing optimization, product experience, and more.

Why Poshmark?

As a leader in Social Commerce, Poshmark offers an unparalleled opportunity to work with extensive multi-platform social and commerce data. With over 130 million users generating billions of daily events and petabytes of rapidly growing data, you’ll be at the forefront of data science innovation. If building impactful, data-driven AI solutions for millions excites you, this is your place.

What You’ll Do

• Drive end-to-end data science initiatives, from ideation to deployment, delivering measurable business impact through projects such as feed personalization, product recommendation systems, and attribute extraction using computer vision.
• Collaborate with cross-functional teams, including ML engineers, product managers, and business stakeholders, to design and deploy high-impact models.
• Develop scalable solutions for key areas like product, marketing, operations, and community functions.
• Own the entire ML Development lifecycle: data exploration, model development, deployment, and performance optimization.
• Apply best practices for managing and maintaining machine learning models in production environments.
• Explore and experiment with emerging AI trends, technologies, and methodologies to keep Poshmark at the cutting edge.

Your Experience & Skills

• Experience: 6-9 years of building scalable data science solutions in a big data environment. Experience with personalization algorithms, recommendation systems, or user behavior modeling is a big plus.
• Machine Learning Knowledge: Hands-on experience with key ML algorithms, including CNNs, Transformers, and Vision Transformers. Familiarity with Large Language Models (LLMs) and techniques like RAG or PEFT is a bonus.
• Technical Expertise: Proficiency in Python, SQL, and Spark (Scala or PySpark), with hands-on experience in deep learning frameworks like PyTorch or TensorFlow. Familiarity with ML engineering tools like Flask, Docker, and MLOps practices.
• Mathematical Foundations: Solid grasp of linear algebra, statistics, probability, calculus, and A/B testing concepts.
• Collaboration & Communication: Strong problem-solving skills and ability to communicate complex technical ideas to diverse audiences, including executives and engineers.

Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Retail Apparel and Fashion

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