{"schemaVersion":"jobsearcher.job.v1","id":"f682db6c69c20ee8cc5b88e0","url":"https://jobsearcher.com/jobs/f682db6c69c20ee8cc5b88e0","canonicalUrl":"https://jobsearcher.com/jobs/f682db6c69c20ee8cc5b88e0","title":"Data Scientist / Machine Learning Engineer","description":"Preference for W2 and Local Candidates from Diamond Bar, CA * Relocation can workMust Have - Strong Databricks ExperienceTitle: Data Scientist – Machine Learning Engineer (Databricks Platform)Location: Diamond Bar, CA - Fully OnsiteJob Type: Contract OpportunityJob Summary:We are looking for a Data Scientist with strong Machine Learning and Databricks expertise to join a California-based Clients Team. The ideal candidate will design, build, and deploy ML models on the Databricks platform, work with large-scale data pipelines, and collaborate with cross-functional teams to drive data-driven decision making.Key Responsibilities:Design, develop, and deploy machine learning models using Databricks (MLflow, Delta Lake)Build and optimize data pipelines (ETL/ELT) using PySpark/Spark on DatabricksPerform exploratory data analysis, feature engineering, and model validationCollaborate with data engineers, analysts, and business stakeholders to translate business problems into ML solutionsDeploy models into production and monitor performance (MLOps practices)Work with structured and unstructured data at scaleDocument processes, models, and findings clearly for technical and non-technical audiencesRequired Skills:4–6 years of experience as on Databricks Platform with Machine Learning Exp.Strong hands-on experience with Databricks (notebooks, MLflow, Delta Lake, Unity Catalog)Proficiency in Python (Pandas, NumPy, Scikit-learn) and PySparkExperience with SQL and large-scale data processingSolid grasp of ML algorithms (regression, classification, clustering, ensemble methods)Experience with cloud platforms (Azure Databricks / AWS / GCP — confirm which one client uses)Familiarity with MLOps tools, model deployment, and CI/CD for ML pipelinesStrong statistics and data visualization skills (Matplotlib, Seaborn, Power BI/Tableau a plus)If you are interested, please share your updated resume, current location, work authorization, availability, and contact details.Thanks & Regards,Rohit GulatiSenior Technical Recruiter📧 Email ID: rohit@brightmatrixglobal.com","company":"Bright Matrix Global","rawCompany":"bright matrix global","city":"Diamond Bar","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-08T08:54:46.992Z","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":"Data Scientist / Machine Learning Engineer","description":"Preference for W2 and Local Candidates from Diamond Bar, CA * Relocation can workMust Have - Strong Databricks ExperienceTitle: Data Scientist – Machine Learning Engineer (Databricks Platform)Location: Diamond Bar, CA - Fully OnsiteJob Type: Contract OpportunityJob Summary:We are looking for a Data Scientist with strong Machine Learning and Databricks expertise to join a California-based Clients Team. The ideal candidate will design, build, and deploy ML models on the Databricks platform, work with large-scale data pipelines, and collaborate with cross-functional teams to drive data-driven decision making.Key Responsibilities:Design, develop, and deploy machine learning models using Databricks (MLflow, Delta Lake)Build and optimize data pipelines (ETL/ELT) using PySpark/Spark on DatabricksPerform exploratory data analysis, feature engineering, and model validationCollaborate with data engineers, analysts, and business stakeholders to translate business problems into ML solutionsDeploy models into production and monitor performance (MLOps practices)Work with structured and unstructured data at scaleDocument processes, models, and findings clearly for technical and non-technical audiencesRequired Skills:4–6 years of experience as on Databricks Platform with Machine Learning Exp.Strong hands-on experience with Databricks (notebooks, MLflow, Delta Lake, Unity Catalog)Proficiency in Python (Pandas, NumPy, Scikit-learn) and PySparkExperience with SQL and large-scale data processingSolid grasp of ML algorithms (regression, classification, clustering, ensemble methods)Experience with cloud platforms (Azure Databricks / AWS / GCP — confirm which one client uses)Familiarity with MLOps tools, model deployment, and CI/CD for ML pipelinesStrong statistics and data visualization skills (Matplotlib, Seaborn, Power BI/Tableau a plus)If you are interested, please share your updated resume, current location, work authorization, availability, and contact details.Thanks & Regards,Rohit GulatiSenior Technical Recruiter📧 Email ID: rohit@brightmatrixglobal.com","datePosted":"2026-09-08T08:54:46.992Z","dateModified":"2026-09-08T08:54:46.992Z","hiringOrganization":{"@type":"Organization","name":"Bright Matrix Global","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Diamond Bar","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f682db6c69c20ee8cc5b88e0"},"url":"https://jobsearcher.com/jobs/f682db6c69c20ee8cc5b88e0"}}