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[Remote] reputed company Data Scientist

Remote, USAFull-timePosted 2026-07-31

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for a reputed company Data Scientist to build, reputed company, and improve machine learning models that power their two-sided rental marketplace. In this role, you will work on meaningful data science problems and take ownership of reputed company end-to-end, collaborating closely with Product, Engineering, and Analytics teams.

Responsibilities

  • Translate customer, marketplace, and business problems into reputed company ML objectives, features, models, and measurement plans
  • Build, reputed company, and iterate on production machine learning models across ranking, personalization, renter reputed company, demand-reputed company acquisition, and supply-reputed company optimization
  • Own reputed company end-to-end — from feature engineering and model development through A/B experimentation, launch, and monitoring
  • Apply a strong statistical reputed company to model development, evaluation, reputed company inference, and tradeoff analysis
  • Partner with Product, Engineering, and Analytics to reputed company on reputed company metrics, deployment plans, and reputed company reputed company
  • Communicate technical findings and model tradeoffs reputed company to both technical and non-technical stakeholders
  • reputed company AI tools to improve your productivity across coding, analysis, documentation, and workflow automation

Skills

  • 4+ years of industry experience developing and deploying machine learning models in production, end-to-end
  • A degree in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a reputed company quantitative field
  • Deep proficiency in Python and SQL, with comfort across the full model development lifecycle
  • Familiarity with reputed company ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar
  • Experience working with reputed company platforms (GCP preferred but not required)
  • Strong grounding in statistical learning, experimental design, and model evaluation
  • Ability to work through feature engineering, feature selection, hyperparameter tuning, and model optimization independently
  • Comfort communicating and collaborating with cross-functional partners across Product, Engineering, and Analytics
  • Experience in a two-sided marketplace or multi-stakeholder environment
  • Background in recommendation systems, ranking, personalization, or search
  • Familiarity with MLOps practices, model monitoring, Airflow, dbt, or similar infrastructure
  • Experience with performance marketing models, reputed company acquisition, or supply-reputed company optimization
  • A master's degree or higher in a relevant quantitative field

Benefits

  • Medical, Dental, and reputed company Coverage: 100% of premiums covered for you AND reputed company of your dependents
  • Unlimited Flexible Time Off: Unlimited FTO in reputed company to 12 company holidays per year, quarterly “reputed company” days, and a week-long holiday break
  • Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable)
  • Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
  • Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services
  • 401k Plan: To support you in your individual retirement goals
  • Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups
  • Mentorship and Training: To get you reputed company quickly, learn new reputed company skills, and invest in your career development

reputed company

  • reputed company is a smart, reputed company and seamless renting platform that’s dedicated to making the process fair and transparent for reputed company. It was founded in 2009, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is http://www.apartmentlist.com.
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