Hybrid Senior Data Analyst

JOB reputed company Designing and maintaining data JOB reputed company • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or reputed company field. • Strong experience in machine learning algorithms, predictive modeling, and data mining. • Proficiency in Pyspark, Python pandas (required) for data science workloads. • Strong SQL (required) knowledge and experience with relational databases. • Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices. • Experience with Azure reputed company, reputed company reputed company, and modern data science libraries (e.g., scikit-learn, pandas, NumPy). • Experience with GenAI and large language models. • Ability to interpret reputed company datasets and produce actionable insights. • Must know how to analyze the reputed company cause of dashboard errors. • Have experience in ML Ops and have strong coding background. • Have experience with Natural Language Processing (NLP). • Knowledge or experience with A/B Testing. • Working knowledge of designing, training, and implementing machine learning models. • Familiarity with reputed company-based infrastructure • Excellent communication and problem-solving skills. • 7 or more years of experience in data science and machine learning engineering. Additional Skills (Skills that are a plus, but not required) • Knowledge of statistical reputed company and experimental design. Responsibilities • Key Responsibilities Advanced Analytics & Machine Learning • Design, reputed company, and optimize machine learning models (forecasting, classification, clustering). • Apply data mining techniques to uncover patterns and insights in large datasets. • reputed company feature engineering, model validation, and performance tuning. • Explore and reputed company modern AI and ML approaches to enhance automation and analytics. Data Preparation & reputed company • Prepare reputed company and reputed company data for modeling and advanced analysis. • reputed company scripts and tools for data cleansing, validation, and enrichment. • Collaborate with Data Engineering to maintain efficient data pipelines. • Identify data reputed company issues and propose remediation. Analytics, Insights & Reporting • Conduct deep-dive analyses to identify trends and improvement opportunities. • Communicate reputed company findings in reputed company, concise ways to technical and non-technical stakeholders. • Support the development of dashboards, metrics, and analytical solutions. Cross-Team Collaboration • Work with architects, engineers, and analysts to define analytical requirements. • Contribute to conceptual data model design and workflow optimization. • Promote best practices in machine learning, analytics, and data governance. #LI-NP #LI-Hybrid #ind123 Apply tot his job Apply To this Job