This range is provided by Workana.
Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$36,000.00/yr - $48,000.00/yrWorkana is the largest remote work platform for talents in Latin America.
Our new segment Workana Premium focuses on matching the most exceptional professionals with leading and innovative companies around the globe.
Enjoy competitive compensation, dedicated support, and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.We are proud to present you with the following opportunity.About Our Client:Frenzy AI is an innovative company revolutionizing the e-commerce landscape through the power of artificial intelligence.
By leveraging cutting-edge machine learning technologies, they create personalized shopping experiences that drive user engagement and business growth.
Frenzy AI fosters a culture of innovation, collaboration, and impact, offering a dynamic environment for professionals who want to shape the future of e-commerce.Role Overview:As a Data Scientist at Frenzy AI, you will play a crucial role in building and deploying scalable recommendation systems that enhance user experience and business outcomes.
You will collaborate closely with cross-functional teams to develop machine learning models, perform data analysis, and optimize personalization strategies.
This is an exciting opportunity to work with large-scale datasets and deploy models that make a real impact.Responsibilities:Develop, implement, and deploy recommendation systems using techniques like matrix factorization, deep learning, and implicit/explicit feedback modelsPerform data analysis and build predictive models leveraging behavioral data and trend signalsWork with large-scale data pipelines and contribute to the development of A/B testing frameworksCollaborate with product and engineering teams to design and optimize personalization and user segmentation strategiesAnalyze and interpret data to deliver actionable insights that drive product ranking and user engagementCommunicate technical findings effectively to non-technical stakeholdersContinuously research and apply state-of-the-art machine learning techniques to enhance recommendation performanceRequirements3+ years of experience in data science, ideally in e-commerce or consumer-tech environmentsStrong proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, and LightFMHands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit/explicit feedback models)Experience with SQL, Pandas, and Jupyter for data analysisStrong understanding of product ranking models using behavioral dataExperience working with large-scale data pipelines and A/B testing frameworksExcellent problem-solving skills and ability to communicate complex technical concepts clearlyBenefitsCompensation in USDFully remote workCareer growth opportunities with an international, dynamic companySeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeContractJob functionIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Workana by 2xSign in to set job alerts for "Data Scientist" roles.Freelance Software Developer (Python) - AI TrainerSoftware Engineer (Python) Career Opportunities at Dev.Pro - 01Freelance Software Developer (Python) - Quality Assurance (AI Trainer)Freelance Software Developer (Python-Rust) - AI Trainer769 - Data Scientist Ssr/Sr (AI-ML/Modeling in Retail/CPG) · LATAM769 - Data Scientist Ssr/Sr (AI-ML/Modeling in Retail/CPG) · LATAMWe're unlocking community knowledge in a new way.
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