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We are looking for a Data Scientist who will transform business needs into data-driven solutions. This role involves gathering and analyzing requirements, developing data models and database systems, and creating insightful analytics and visualizations. You will collaborate closely with stakeholders and technical teams to deliver efficient reporting solutions and support business decision-making using tools like Python and Power BI.
Responsibilities
Qualifications
Tech Stack
Job ID: 149038827
Skills:
Databricks, Tensorflow, Pandas, Pyspark, Deep Learning, Pytorch, Python, Azure, Azure Data Lake, Nlp, Spark, vector databases, traditional statistical ML, MLflow, Azure OpenAI Service, scikit-learn, Azure AI Foundry, embeddings, Hugging Face Transformers, RAG, prompt engineering, LLM GenAI applications
Skills:
Hadoop, Power Bi, Data Visualization, Spark, Tableau, Qliksense, Python, Sql, Advanced statistical analysis
Skills:
causal inference , GCP - BigQueryML, Sql, Tensorflow, Pytorch, Optimization Algorithms, XGBoost, Performance Monitoring, Linear Regression, Python, propensity modeling, feature engineering best practices, ROI, Gemini, scikit-learn, advanced experiment design, business impact modeling, Statistical Modeling, LTV, Vertex AI, model governance, incrementality, AWS SageMaker, MLOps orchestration tools, Experimental Design
Skills:
threat modeling , behavioral analytics , Data Cleaning, Unsupervised Learning, Security Controls, Machine Learning, data mining, Python, R, alert triage, investigation workflows, supervised classification, feature engineering, graph analytics, risk scoring, fraud risk scoring, Statistical Techniques, anomaly detection, rule-based systems, fraud detection methodologies, time-series analysis
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