Databricks Machine Learning Analyst

We are seeking a Senior Data Scientist / Machine Learning Engineer to design, develop, and operationalize advanced analytics, machine learning, and generative AI solutions in an enterprise environment. This role combines hands-on coding, advanced analytics, ML engineering, and MLOps, with a strong focus on Azure Databricks, PySpark, Python, SQL, Power BI, and GenAI/LLM solutions. The ideal candidate is equally comfortable building models, deploying them into production, and explaining insights to business stakeholders. Key Responsibilities Advanced Analytics & Machine Learning • Design, develop, and optimize machine learning models (forecasting, classification, clustering) • Apply data mining techniques to uncover trends and patterns • Perform feature engineering, model validation, and performance tuning • Explore and deploy Generative AI and LLM-based solutions • Apply NLP techniques for text analytics and unstructured data use cases Data Preparation & Quality • Prepare structured and unstructured datasets for advanced analytics • Develop Python and PySpark scripts for data cleansing, validation, and enrichment • Collaborate with Data Engineering teams to maintain efficient pipelines • Identify data quality issues and propose remediation strategies MLOps & Productionization • Implement Machine Learning Operations (MLOps) practices • Deploy, monitor, and maintain models in production environments • Manage model lifecycle, versioning, and retraining • Ensure scalability, reliability, and performance of ML solutions Analytics, Insights & Reporting • Conduct deep-dive analyses to support diagnostic and predictive insights • Develop and support Power BI dashboards, DAX queries, and reporting best practices • Perform root-cause analysis of data and dashboard issues • Translate complex analytics into actionable business insights Cross-Functional Collaboration • Work with architects, engineers, analysts, and business stakeholders • Contribute to data model design and analytics workflow optimization • Promote best practices in analytics, machine learning, and data governance Required Skills & Experience Education • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field Core Technical Skills • 7+ years of experience in data science and machine learning engineering • Strong Python expertise (data science & ML workloads) • Advanced SQL skills with relational databases • PySpark programming (required) • Strong understanding of statistical modeling and machine learning algorithms • Experience with Azure Databricks (certification preferred) • Experience with Generative AI and Large Language Models (LLMs) • Strong background in MLOps • Experience with Natural Language Processing (NLP) • A/B Testing and experimental analysis experience • Strong coding background with production-quality standards Data & Visualization • 3+ years experience with Power BI, DAX queries, and visualization best practices • Ability to analyze and resolve dashboard/data issues Nice to Have • Google Cloud experience (BigQuery preferred) • Oracle database experience • Azure Databricks Data Engineer Professional Certification • Data Analyst background with ML exposure • Knowledge of statistical methods and experimental design