Jobs → Data & Analytics → Applied Data Scientist

Applied Data Scientist

Aditya PratapUnited StatesMIDPosted 2h ago
PythonRData ScienceMachine LearningArtificial IntelligenceScikitLearnTensorFlowPyTorchStatistical AnalysisPredictive ModelingData MiningExploratory Data AnalysisFeature EngineeringModel TrainingModel EvaluationModel DeploymentGenerative AILLMsDeep LearningAzureDatabricksSparkSynapseMLOpsModel MonitoringDockerKubernetesRapid PrototypingProduction MLBusiness Stakeholder ManagementAgile
About the Role We are looking for an Applied Data Scientist with strong experience in Python, Machine Learning, Predictive Modeling, and Statistical Analysis for a contract role. This position involves developing, testing, deploying, and monitoring production-ready AI/ML solutions to solve business problems. Key Responsibilities • Develop, test, deploy, and monitor production-ready AI/ML solutions • Utilize Python, R, and various machine learning frameworks • Perform statistical analysis and predictive modeling • Engage in exploratory data analysis and feature engineering • Implement model training, evaluation, and deployment processes • Work with cloud platforms like Azure, Databricks, Spark, and Synapse • Apply MLOps principles for model monitoring and management • Utilize Docker and Kubernetes for containerization • Practice rapid prototyping and production ML • Manage business stakeholders and collaborate using Agile methodologies Requirements • Strong hands-on experience in Data Science and AI/ML • Proficiency in Python, R, and machine learning frameworks • Experience with statistical analysis and predictive modeling • Knowledge of data mining and exploratory data analysis • Skills in feature engineering and model training • Familiarity with model evaluation and deployment • Understanding of generative AI and LLMs • Experience with deep learning techniques • Proficiency in cloud platforms like Azure, Databricks, Spark, and Synapse • Knowledge of MLOps and model monitoring • Experience with Docker and Kubernetes • Ability to perform rapid prototyping and production ML • Strong business stakeholder management skills • Experience with Agile methodologies

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