Posh · 7 hours ago
Senior Data Scientist
Posh is a company focused on fostering human connections through community-driven events. They are seeking an experienced Senior Data Scientist to lead the development of their personalization and recommendation system, working closely with Product and Engineering teams to enhance user experiences.
Consumer SoftwareEvent ManagementTicketing
Responsibilities
Designing and Preparing High-Quality Data for Personalization Models: Own the process of data cleaning, feature selection, and model selection to build a high-performing personalization model. Ensure all inputs into personalization algorithms are reliable, well-structured, and optimized for downstream ML performance
Building and Maintaining Scalable Pipelines for Modeling Data: Develop robust ETL/ELT pipelines that transform raw behavioral, transactional, and catalog data into features for recommendation systems. Continuously iterate to improve data freshness and coverage using SQL and Python
Optimizing Infrastructure to Support ML Personalization at Scale: Enhance data architecture and processing frameworks to support real-time and batch modeling needs
Ensuring Strong Data Governance and Documentation: Implement best practices for data quality, documentation, observability, and lineage across all model-bound datasets
Collaborating with Product and Engineering on Instrumentation & Feature Tracking: Work closely with Engineering to ensure accurate tracking and logging of user actions and product interactions needed for personalization systems. Partner with Product to translate business needs into feature definitions and modeling requirements
Optimizing Classification Models: Develop, refine, and optimize classification models that accurately categorize events. Improve signal quality through feature engineering, tuning, sampling, and continuous iteration to ensure accurate tagging that powers downstream personalization algorithms
Qualification
Required
Possesses 5+ Years of full time Data Experience: Has at least 5 years of hands-on experience in data science or analytics engineering. Demonstrates a strong ability to design, build, and optimize scalable data systems
Expert in SQL and Python: Demonstrates strong proficiency in SQL and Python, with deep experience cleaning data, engineering features, and building efficient, production-ready modeling pipelines
Strong Ability to Analyze and Evaluate Models: Skilled in designing experiments, interpreting model performance, and communicating insights clearly to both technical and non-technical stakeholders
Experience Building Personalization and Recommendation Systems: Has built or contributed to ranking, classification, recommendation, or personalized user experience models in production environments
Proficient with Modern Data and ML Tooling: Experienced working with cloud data platforms and analytics tooling, and familiar with best practices in data modeling, pipeline reliability, and ML optimization
Has a Background in Early Stage Data Team (Required): Exhibits high interest in startups and has experience building the early foundation of a data team at a small tech company
Preferred
Cloud ML Tools & Consumer Scale (Bonus): Experience with AWS Personalize, SageMaker, or similar cloud ML platforms, and/or working on consumer-facing products operating at scale
Company
Posh
Create and discover events. Find your world.
H1B Sponsorship
Posh has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageTotal Funding
$31.02MKey Investors
Goodwater CapitalPareto Holdings
2024-07-23Series A· $22M
2023-12-12Undisclosed· $4M
2023-04-27Seed· $3.5M
Leadership Team
Recent News
Business Insider
2025-10-15
Business Insider
2025-06-13
Company data provided by crunchbase