{"schemaVersion":"jobsearcher.job.v1","id":"dab52d447ad00a668f666c3c","url":"https://jobsearcher.com/jobs/dab52d447ad00a668f666c3c","canonicalUrl":"https://jobsearcher.com/jobs/dab52d447ad00a668f666c3c","title":"Databricks Data Scientist","description":"Role: Databricks Data Scientist Location: Indianapolis, IN - onsite Duration: 6 months Desirable Skills: Keyword: ~AWS| Python~ Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Databricks Experience Required: 10 & Above Job Description: We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie Key Responsibilities Data Science & Machine LearningDesign, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).Implement end-to-end ML pipelines (data ingestion → training → deployment → monitoring).Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse. Databricks & Lakehouse ArchitectureLeverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.Optimize Spark jobs for performance and cost efficiency.Apply best practices for data governance, lineage, and security. Genie (AI/BI & Natural Language Analytics)Configure and enable Databricks Genie for self-service analytics.Design semantic layers and curated datasets optimized for natural language queries.Partner with business stakeholders to translate questions into Genie-enabled insights. Business Enablement & CollaborationWork closely with product owners, analysts, and business leaders to identify high-value use cases.Communicate complex analytical results in a clear, business-friendly manner. Required Qualifications:Bachelor's or master's degree in data science, Computer Science, Statistics, Engineering, or a related field.4+ years of experience in data science or advanced analytics.Hands-on experience with Databricks and Apache Spark.Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).Experience building and deploying ML models in production.Solid understanding of SQL and data modeling.Experience with MLflow, model lifecycle management, and experimentation.","company":"Equiliem","rawCompany":"equiliem","city":"Indianapolis","state":"IN","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:30:48.268Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Databricks Data Scientist","description":"Role: Databricks Data Scientist Location: Indianapolis, IN - onsite Duration: 6 months Desirable Skills: Keyword: ~AWS| Python~ Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Databricks Experience Required: 10 & Above Job Description: We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie Key Responsibilities Data Science & Machine LearningDesign, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).Implement end-to-end ML pipelines (data ingestion → training → deployment → monitoring).Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse. Databricks & Lakehouse ArchitectureLeverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.Optimize Spark jobs for performance and cost efficiency.Apply best practices for data governance, lineage, and security. Genie (AI/BI & Natural Language Analytics)Configure and enable Databricks Genie for self-service analytics.Design semantic layers and curated datasets optimized for natural language queries.Partner with business stakeholders to translate questions into Genie-enabled insights. Business Enablement & CollaborationWork closely with product owners, analysts, and business leaders to identify high-value use cases.Communicate complex analytical results in a clear, business-friendly manner. Required Qualifications:Bachelor's or master's degree in data science, Computer Science, Statistics, Engineering, or a related field.4+ years of experience in data science or advanced analytics.Hands-on experience with Databricks and Apache Spark.Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).Experience building and deploying ML models in production.Solid understanding of SQL and data modeling.Experience with MLflow, model lifecycle management, and experimentation.","datePosted":"2026-06-26T03:30:48.268Z","dateModified":"2026-06-26T03:30:48.268Z","hiringOrganization":{"@type":"Organization","name":"Equiliem","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Indianapolis","addressRegion":"IN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dab52d447ad00a668f666c3c"},"url":"https://jobsearcher.com/jobs/dab52d447ad00a668f666c3c"}}