{"schemaVersion":"jobsearcher.job.v1","id":"d637d550870a793eada1f687","url":"https://jobsearcher.com/jobs/d637d550870a793eada1f687","canonicalUrl":"https://jobsearcher.com/jobs/d637d550870a793eada1f687","title":"Machine Learning Analyst","description":"Job SummaryThe Senior Machine Learning Analyst will play a critical role in designing, developing, and optimizing machine learning models to deliver actionable insights.This role requires strong expertise in Python, TensorFlow, and advanced data analysis techniques, with a focus on solving complex business problems and enabling data-driven decision-making.Key ResponsibilitiesModel Development & Optimization Build, train, and deploy machine learning models using Python, TensorFlow, and other ML frameworks.Optimize models for accuracy, scalability, and performance.Data Analysis & Insights Analyze large structured and unstructured datasets to identify trends, patterns, and anomalies.Apply statistical and predictive modeling techniques to generate business insights.Collaboration & Stakeholder Management Work closely with cross-functional teams (engineering, product, business) to translate requirements into ML solutions.Present findings and recommendations to stakeholders in clear, actionable formats.Quality & Standards Ensure adherence to coding standards, documentation, and reproducibility of ML pipelines. Conduct model validation, testing, and monitoring to maintain reliability.Qualifications Education:Bachelor's or master's in computer science, Data Science, Statistics, or related field.Experience: Minimum 5+ years in machine learning, data science, or advanced analytics.Technical Skills:Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).Experience with SQL, data visualization tools (Power BI, Tableau). Knowledge of cloud platforms (AWS, Azure, GCP) for ML deployment.Familiarity with NLP, deep learning, and big data frameworks (Spark, Hadoop) is a plus.Desired CompetenciesStrong problem-solving and analytical skills.Ability to communicate complex technical concepts to non-technical stakeholders.Experience in agile development and working with distributed teams.Passion for continuous learning and staying updated with ML/AI advancements.","company":"TechDigital","rawCompany":"techdigital","city":"Industry","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-21T03:01:24.657Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Analyst","description":"Job SummaryThe Senior Machine Learning Analyst will play a critical role in designing, developing, and optimizing machine learning models to deliver actionable insights.This role requires strong expertise in Python, TensorFlow, and advanced data analysis techniques, with a focus on solving complex business problems and enabling data-driven decision-making.Key ResponsibilitiesModel Development & Optimization Build, train, and deploy machine learning models using Python, TensorFlow, and other ML frameworks.Optimize models for accuracy, scalability, and performance.Data Analysis & Insights Analyze large structured and unstructured datasets to identify trends, patterns, and anomalies.Apply statistical and predictive modeling techniques to generate business insights.Collaboration & Stakeholder Management Work closely with cross-functional teams (engineering, product, business) to translate requirements into ML solutions.Present findings and recommendations to stakeholders in clear, actionable formats.Quality & Standards Ensure adherence to coding standards, documentation, and reproducibility of ML pipelines. Conduct model validation, testing, and monitoring to maintain reliability.Qualifications Education:Bachelor's or master's in computer science, Data Science, Statistics, or related field.Experience: Minimum 5+ years in machine learning, data science, or advanced analytics.Technical Skills:Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).Experience with SQL, data visualization tools (Power BI, Tableau). Knowledge of cloud platforms (AWS, Azure, GCP) for ML deployment.Familiarity with NLP, deep learning, and big data frameworks (Spark, Hadoop) is a plus.Desired CompetenciesStrong problem-solving and analytical skills.Ability to communicate complex technical concepts to non-technical stakeholders.Experience in agile development and working with distributed teams.Passion for continuous learning and staying updated with ML/AI advancements.","datePosted":"2026-05-21T03:01:24.657Z","dateModified":"2026-05-21T03:01:24.657Z","hiringOrganization":{"@type":"Organization","name":"TechDigital","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Industry","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d637d550870a793eada1f687"},"url":"https://jobsearcher.com/jobs/d637d550870a793eada1f687"}}