Fetch is the centralized community services platform behind modern apartment living. We unify the daily services that shape the resident experience (including package management, valet trash, storage, and market delivery) into one platform. By moving these operations offsite and managing them end to end, Fetch removes daily work from onsite teams while delivering a simpler, more reliable experience for residents. Today, Fetch supports nearly 400,000 apartment homes across…
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Fetch is the centralized community services platform behind modern apartment living. We unify the daily services that shape the resident experience (including package management, valet trash, storage, and market delivery) into one platform. By moving these operations offsite and managing them end to end, Fetch removes daily work from onsite teams while delivering a simpler, more reliable experience for residents. Today, Fetch supports nearly 400,000 apartment homes across more than 1,250+ communities in 25 major markets nationwide. Headquartered in Austin, Texas, Fetch has delivered over 50 million packages and saved tens of thousands of hours for onsite teams.
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Fetch a 11 offres ouvertes au Canada en date du 6 novembre 2026.
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Fetch
8+ ansCandidates need 8+ years in data science or applied analytics with product-driven ownership. They must have strong SQL, Python, statistics, causal inference and forecasting skills, plus experience building and evaluating AI agent systems.
SQL, Python
Fetch
8+ ansCandidates need 8+ years in data science or applied statistics, including 3+ years building advertising platform products. They must have strong causal inference skills, experience with predictive and ranking systems, and tools like Python, SQL, Snowflake and dbt.
Python, SQL, Snowflake, dbt
Fetch
5+ ansCandidates need 5+ years of data science or applied analytics experience, including defining KPIs with stakeholders and building validated models. Strong skills in SQL, Python, statistics, causal inference and forecasting are required.
SQL, Python
Fetch
5+ ansCandidates need 5+ years in data science or applied analytics, experience owning experiments end to end, and strong SQL and Python skills. Experience with large-scale data tools like Snowflake, dbt, Airflow, or Spark is also required.
Python, SQL, Snowflake, dbt, Airflow, Spark
Fetch
8+ ansCandidates need 8+ years in data science or analytics, advanced Python and SQL, and experience building and deploying machine learning models. Strong skills in statistics, experiment design and causal inference are required, along with the ability to influence senior stakeholders and communicate clearly.
Python, SQL, dbt, Git/GitHub, Spark
Fetch
8+ ansCandidates need 8+ years in data science, machine learning or applied analytics, with leadership of complex data products. They must have experience with audience expansion or measurement, causal inference, strong SQL and Python, and influencing senior stakeholders with evidence.
SQL, Python
Fetch
8+ ansCandidates need 8+ years in data science or applied analytics, with ownership of ranking, relevance or recommendation work. Strong modeling, SQL and Python skills are required, along with experience in marketplace measurement.
Python, SQL, Snowflake, dbt, Airflow, Spark
Fetch
8+ ansCandidates need 8+ years in data science, economics, statistics or applied research, at Staff or Principal scope. They need deep causal inference and experimentation expertise, experience owning company-level metrics, and strong communication with senior audiences. A bachelor's degree in a quantitative field is required.
Python, SQL, Snowflake, dbt
Fetch
5+ ansCandidates need 5+ years in data science or applied analytics with product ownership, strong SQL, Python, statistics and predictive modelling, and hands-on causal inference experience. Clear communication with non-technical audiences is essential.
SQL, Python
Fetch
6+ ansCandidates need 6+ years of machine learning or software engineering experience, including owning production ML systems at scale in personalization, relevance, search or ad tech. A bachelor's degree in a technical field and strong distributed systems and system design skills are required.
Machine learning, ML, Coaching, Computer science, Child care
Fetch
12+ ansCandidates need 12+ years of software or ML experience, including production ML systems at scale in personalization, search or ad tech. Strong distributed systems, data pipeline and system design skills, plus a bachelor's degree in a technical field, are required.
Machine learning, ML, Coaching, Computer science, Child care
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