Stars Restaurant
Staff Machine Learning Engineer (Forecasting & Optimization)
Stars Restaurant, Chicago, Illinois, United States, 60290
Fetch
Published 13 Sep 2024Share this job
Chicago, IL, USA$100000-$220000 annuallyRemoteFull TimeRole Highlights
PythonForecastingOptimizationDataInferenceAgileComputer ScienceInformation SystemsMBABusiness AdministrationOperations ResearchInternational RelationsEarth ScienceStartupSecurityServerTools, Libraries and Frameworks
Description
Fetch is building a revolutionary shopping platform that engages consumers through a rewards system. The Staff Machine Learning Engineer will design models that forecast offer performance and optimize offer structures using advanced machine learning techniques. This role is crucial for maximizing redemption rates and enhancing user satisfaction while driving ROI for brand partnerships. The engineer will also collaborate with various teams to identify opportunities for improvement and mentor junior engineers.Required Qualifications and Skills
The role requires over 7 years of experience in machine learning with a focus on forecasting and optimization. Candidates must have proven experience with time-series forecasting and predictive analytics, along with strong programming skills in Python or R. A background in working with large-scale data and building data pipelines is essential. Additionally, expertise in optimization techniques such as linear programming is expected for success in this position.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.7. Fetch is a revolutionary shopping platform that energizes the traditional saving process into a fun, loyalty-driving, and beneficial engagement for both brands and consumers. Ranking top 10 in the Shopping category of the App Store, Fetch has successfully established itself as a founder-led technology unicorn still in its initial growth stages. By integrating rewarding Fetch Points across various purchasing avenues, Fetch simplifies the shopping experience, making it financially advantageous for its users. Their culture centres on empowering employees to innovate, challenge conventional ideas, and contribute to the platform's evolving services in meaningful ways.
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Published 13 Sep 2024Share this job
Chicago, IL, USA$100000-$220000 annuallyRemoteFull TimeRole Highlights
PythonForecastingOptimizationDataInferenceAgileComputer ScienceInformation SystemsMBABusiness AdministrationOperations ResearchInternational RelationsEarth ScienceStartupSecurityServerTools, Libraries and Frameworks
Description
Fetch is building a revolutionary shopping platform that engages consumers through a rewards system. The Staff Machine Learning Engineer will design models that forecast offer performance and optimize offer structures using advanced machine learning techniques. This role is crucial for maximizing redemption rates and enhancing user satisfaction while driving ROI for brand partnerships. The engineer will also collaborate with various teams to identify opportunities for improvement and mentor junior engineers.Required Qualifications and Skills
The role requires over 7 years of experience in machine learning with a focus on forecasting and optimization. Candidates must have proven experience with time-series forecasting and predictive analytics, along with strong programming skills in Python or R. A background in working with large-scale data and building data pipelines is essential. Additionally, expertise in optimization techniques such as linear programming is expected for success in this position.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.7. Fetch is a revolutionary shopping platform that energizes the traditional saving process into a fun, loyalty-driving, and beneficial engagement for both brands and consumers. Ranking top 10 in the Shopping category of the App Store, Fetch has successfully established itself as a founder-led technology unicorn still in its initial growth stages. By integrating rewarding Fetch Points across various purchasing avenues, Fetch simplifies the shopping experience, making it financially advantageous for its users. Their culture centres on empowering employees to innovate, challenge conventional ideas, and contribute to the platform's evolving services in meaningful ways.
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