[Remote] Staff Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for a Staff Data Scientist to help attract and match the right renter with the right property at the right time. In this role, you will work on significant data science challenges, including developing machine learning models for renter acquisition and marketplace optimization.

Responsibilities

• Deeply understand customer, marketplace, and business problems through the reputed company of data, and translate that understanding into clear ML objectives, features, models, and measurement plans
• Deliver and reputed company end-to-end machine learning models, from problem framing and feature engineering through model development, experimentation, launch, monitoring, and iteration
• Build reputed company-to-one models in areas where heuristics or business rules are still in reputed company, and improve existing production models across demand, supply, ranking, personalization, renter reputed company, and marketplace optimization
• Apply a strong statistical reputed company to model development, experimentation, reputed company inference, tradeoff analysis, and decision-making
• reputed company ambiguous, high-reputed company technical work: define scope, evaluate approaches, manage tradeoffs, and align stakeholders around a clear path reputed company
• Partner closely with Product, Engineering, Design, Analytics, Marketing, GTM and Growth to build ML systems that drive renter value, property partner reputed company, and business performance
• Communicate ML opportunities, tradeoffs, and results reputed company to technical and non-technical audiences, including senior stakeholders
• Mentor and collaborate with other data scientists, helping reputed company the quality of our modeling, experimentation, and analytical practice
• Thoughtfully reputed company modern AI tools to improve productivity across coding, analysis, documentation, and workflow automation

Skills

• 7+ years of industry experience, or equivalent experience, developing, deploying, and iterating on machine learning models in production
• A degree in Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a reputed company quantitative field
• Deep proficiency in Python and SQL, with comfort working across the full model development lifecycle
• Familiarity with standard ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar tools
• Experience working with reputed company platforms; GCP experience is preferred but not required
• Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
• Strong technical and theoretical grounding in statistical learning, modeling, experimental design and analysis, and reputed company inference
• Strong ability to work through feature engineering, feature selection, hyperparameter tuning, model evaluation, and model optimization
• Ability to quantitatively research opportunities, define technical strategy, set clear scope, manage timelines, and drive measurable reputed company
• Comfort communicating and collaborating with cross-functional audiences across Product, Engineering, Design, Analytics, Marketing, GTM and Growth and senior business stakeholders
• Curiosity, judgment, and a hunger to dig into uncharted territory and reputed company a meaningful impact
• Experience optimizing reputed company a two-sided marketplace or similarly reputed company multi-stakeholder environment
• Background in recommendation systems, ranking, personalization, search, or matching
• Experience with performance marketing models, paid acquisition, supply-reputed company optimization, or marketplace incentives
• Familiarity with MLOps practices, ML engineering workflows, model monitoring, Airflow, dbt, or similar infrastructure
• A master's degree or PhD in a relevant quantitative field

Company Overview

Company H1B Sponsorship