We are seeking a motivated and hands‐on Data Scientist to join our team and help develop data‐driven and AI‐enabled solutions in the semiconductor domain.This role focuses on building practical machine learning applications from proof‐of‐concept through production, while collaborating closely with cross‐functional engineering teams.The RoleOur team develops analytical and machine learning solutions that support engineering, testing, and performance optimization efforts across multiple domains.We emphasize rapid prototyping, iterative development, and close collaboration with stakeholders to ensure high‐impact deliverables.ResponsibilitiesDevelop, train, validate, and deploy machine learning models for real‐world applicationsPerform data collection, cleaning, transformation, and feature engineering on structured and unstructured datasetsBuild and maintain scalable data pipelines and ETL processes using Python, SQL, and related toolsConduct model selection, evaluation, and tuning, ensuring robustness and avoiding overfittingCollaborate with cross‐functional teams to move prototypes into production environmentsContribute to the design and implementation of end‐to‐end ML workflows (MLOps lifecycle)Develop proof‐of‐concept solutions and iterate toward production‐ready systemsDocument methodologies, data sources, models,



and system behaviorParticipate in code reviews and promote best practices in development and deploymentDesired Experience And SkillsExperience with LLM‐based solutions such as RAG (Retrieval‐Augmented Generation), LangChain, or agent‐based systemsFamiliarity with containerization technologies such as DockerExposure to full‐stack development concepts (JavaScript, Node.Js) for integrating data products into applicationsExperience working with experimentation frameworks and prototyping workflowsRequired Experience And SkillsStrong experience with Python for data science and machine learningProficiency in data manipulation and analysis using Pandas, NumPySolid SQL skills for data extraction and transformationExperience building and evaluating ML models using frameworks such as scikit‐learn, PyTorch, or KerasUnderstanding of feature engineering, model validation techniques, and performance metricsExperience building data pipelines and ETL processesAbility to translate business or engineering problems into data science solutionsWhat We ValuePassion for building practical, deployable AI solutionsOwnership mindset from prototype to productionCuriosity and willingness to learn new tools and techniquesCollaboration and transparency across teamsSkyworks is proud to be an equal opportunity employer supporting diversity in the workplace.
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📌 Data Scientist (Mexicali)
🏢 Skyworks Solutions
📍 Mexicali