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The Staff Data Analyst will drive personalization, recommendation, and product marketplace improvement efforts. They will analyze data using techniques like dimension reduction and predictive modeling, collaborating with cross-functional teams to develop data products. Responsibilities include identifying business problems, developing data models, deploying models into production, and evaluating model performance. They will also create user-to-user mapping, utilize search technologies, and analyze message content to detect fraudulent activities.

Software Engineer II

<div><p><strong>Role Overview:&nbsp;</strong></p> <p>Grailed is looking for a Staff Data Analyst to drive personalization, recommendation, and product marketplace improvement efforts. The ideal candidate is able to think like a Grailed user as well as a business owner – understanding how data impacts a fashion-forward user experience and also how it is generated and leveraged – while bringing a strong technical background to the role. Specifically, the role requires an understanding of dimension reduction techniques, predictive modeling (statistical or ML), and other advanced analytic methods. This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working cross functionally to develop compelling data products to help buyers find their Grail and sellers maximize their GMV. This role will work with our data in Snowflake, develop models in Python, collaborate with ML engineers to structure data for consumption, and coordinate with Product and business unit leaders to align data product development with business objectives.&nbsp;</p> <p><strong>In this role you will:&nbsp;</strong></p> <ul> <li>Must be able to form a high-level perspective on objectives across departments in the organization and how advanced data methods might solve complex business problems</li> <li>An ideal candidate is able to autonomously and proactively identify business problems that could benefit from data solutions, whether it be application of existing models or the need for the development of new model(s), and take ideas through all phases, from proposal to alignment to execution</li> <li>Establish best practices for training and development of data models; performance evaluation and monitoring; maintenance, etc</li> <li>Collaborate with Data or ML Engineers to deploy trained models into production, using DBT for reliable and observable deployment into Snowflake, ensuring integration with existing data pipelines and platform infrastructure and leveraging Git for version control of code and configurations</li> <li>Manage portfolio of existing Grailed Data Zone products, which currently includes the following domain areas (with the expectation to expand)</li> <li>Use of historical data to quantify similarity or dissimilarity of marketplace objects such as buyers, designers, sellers, collections, etc., empowering Grailed to segment and rank order product experiences such as the Grailed home page; recommendations on listing pages and designer pages; targeted email and push campaigns, etc</li> <li>Evaluate model performance and iterate to improve accuracy and effectiveness. This includes using A/B testing to validate the impact of personalization initiatives and communicating results to stakeholders.</li> <li>Mine user data to identify opportunities for personalization improvements. This includes defining and tracking KPIs related to personalization effectiveness.</li> <li>Develop and maintain data models in Snowflake to support analytical and reporting needs, providing insights to business stakeholders across various departments</li> <li>Use Python to create ML models and structure the resulting data into a consumable flow</li> <li>Develop user-to-user mapping capabilities using graph databases and vector embeddings to enhance personalization</li> <li>Utilize search technologies (i.e. Algolia, AWS OpenSearch) to enhance product discovery and personalization</li> <li>Analyze message content to detect potentially fraudulent activities, such as identifying keywords or phrases associated with scams, requests for off-platform transactions, or attempts to phish for personal information</li> <li>Collaborate with product managers, engineers, designers, and business stakeholders to understand their data needs and provide data-driven solutions</li> </ul> <p><strong>Requirements:&nbsp;</strong></p> <ul> <li>Graduate degree in data science, analytics, mathematics, machine learning, computer science, or related field preferred</li> <li>Demonstrated track record of applying analytical skills in a product or business setting may substitute for formal advanced education.</li> <li>8+ years of relevant work experience in a data or quantitative role, demonstrated success in a startup, high-growth or faced paced organization</li> <li>Experience in marketplace, e-commerce, or fashion/retail domains preferred</li> <li>Experience with web + App product environment preferred</li> <li>Experience with Marketing analytics a bonus</li> <li>Demonstrated success in nontechnical, crossfunctional partner communication</li> <li>Expert level proficiency in Python for data manipulation, statistical analysis, and model development</li> <li>Practical experience with vector databases and embeddings for tasks like user-to-user or user-to-item mapping, semantic search, or item similarity preferred</li> <li>Experience with Snowflake for SQL and data-warehousing preferred</li> <li>Experience with DBT for building modular, version-controlled data transformations preferred</li> <li>Experience with Git for collaborative code development and review preferred</li> <li>Machine Learning and AI</li> <li>Experience in designing, developing, deploying and optimizing Personalization and Recommendation products at scale</li> <li>Experience building models to assess item/listing quality (as defined by likelihood of sales), classify listings, and use NLP on unstructured text</li> <li>Experience modeling time-series forecasts for market trends, seasonality, demand prediction and other relevant KPIs</li> <li>Proven expertise in advanced statistical modeling, causal inference, experiment/test design, and working knowledge of machine learning algorithm</li> <li>Familiarity with Looker,&nbsp;Amplitude,&nbsp;DBT preferred</li> <li>Ability to tell a story with data, explaining complex concepts or results to audiences ranging from C-suite to IC levels</li> <li>History of mentoring or developing teammates</li> <li>Ongoing learning (e.g. relevant certifications; open-source contributions; personal projects; etc.) is a plus and shows initiative</li> </ul></div>

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This position involves editing short-form content, including Reels and Shorts, for various platforms. Key responsibilities include cutting and assembling engaging ads for Meta platforms, integrating b-rolls and music, ensuring proper pacing, and applying text overlays. The editor will collaborate with other creative professionals and maintain project files. Candidates should have at least two years of editing experience, a strong portfolio, and proficiency in editing software. Additionally, the ability to incorporate feedback, knowledge of Meta Ads, and vertical content creation is a plus.

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<div>We’re seeking a dynamic and detail-oriented <strong>Video Editor</strong> to craft engaging and immersive short-form content for our brand. You’ll play a pivotal role in shaping storytelling through cuts, visuals, and sound that resonate across platforms. A solid understanding of editing for performance marketing (Meta ads) is a major plus.</div><h3><strong>Key Responsibilities</strong></h3><ul><li>Edit short-form content (Reels, Shorts, Micro-dramas) with strong narrative and visual flow</li><li><strong>Cut and assemble engaging ads for platforms like Facebook and Instagram (Meta)</strong></li><li>Integrate b-rolls and licensed/royalty-free music to elevate emotional impact</li><li>Ensure proper pacing, rhythm, and story arc within tight durations</li><li>Apply text overlays, subtitles, and transitions that align with platform trends</li><li>Collaborate with scriptwriters, designers, and motion graphics artists</li><li>Organise and maintain project files and version control</li></ul><h3><strong>What You Bring</strong></h3><ul><li><strong>2+ years of editing</strong> experience in digital content (short-form preferred)</li><li>Strong portfolio showcasing storytelling, aesthetic polish, and versatility</li><li>Familiarity with tools like Adobe Premiere Pro, Final Cut Pro, or DaVinci Resolve</li><li>Understanding of audio mixing, music timing, and sound layering</li><li>Knowledge of Meta Ads formats and creative guidelines</li><li>Eye for detail and ability to work on tight timelines</li><li>Team player with solid communication and feedback incorporation skills.</li><li>English and Hindi language proficiency.</li></ul><h3><strong>Nice to Have</strong></h3><ul><li>Experience editing vertical content for creators or platforms</li><li>Understanding of content marketing goals and ad performance optimization</li><li>Familiarity with subtitle styling and sync tools</li></ul><div><br></div><div><strong>Note:</strong> Shortlisted candidates will be given a brief editing assignment as part of the selection process.</div><div><br></div>

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