AI/ML Data Scientist- 5+ yrs- New York, New York- Onsite

Job Description :

Data Scientist AI ML Advanced AnalyticsPosition SummaryWe are seeking an analytical and innovative Data Scientist to help drive business transformation through Advanced Analytics, Artificial Intelligence and Machine Learning This role focuses on discovering actionable insights from complex datasets developing predictive models identifying optimization opportunities and supporting data driven decision making across the enterprise The ideal candidate is curious, Key ResponsibilitiesAnalyze structured and unstructured datasets to identify trends opportunities and business insightsDevelop and deploy predictive classification clustering and optimization modelsApply machine learning statistical analysis and AI techniques to solve business problemsIdentify hidden patterns and relationships within complex datasetsSupport experimentation hypothesis testing and model validation activitiesDevelop reusable analytical assets models and reporting frameworksPresent analytical findings and business insights to stakeholdersContribute to data science best practices and continuous improvement initiativesRequired Qualifications3+ years of experience in Data Science Machine Learning AI or Advanced AnalyticsStrong foundation in statistics predictive modeling and machine learningExperience working with large-scale datasetsProficiency in Python SQL R or similar analytical languagesExperience with ML frameworks such as Scikit learn TensorFlow PyTorch XGBoost or equivalentKnowledge of data visualization and analytical storytellingStrong problem solving and communication skillsPreferred QualificationsExperience with Generative AI Large Language Models Agentic AI or related technologiesExperience building predictive or decision intelligence solutionsFamiliarity with cloud based analytics platformsExperience with anomaly detection recommendation engines or intelligent automation solutionsExperience working in large enterprise environmentsKey CompetenciesAnalytical ThinkingAbility to analyze complex data and convert findings into meaningful business insightsPattern DiscoveryCollaborative ExecutionThe ideal candidateUses data to uncover opportunities and risksSees patterns beyond standard reportingApplies AI ML techniques to solve real world business problemsBalances analytical rigor with business practicality