Data Scientist

Job Title: Data Scientist Overview We areseekinga highly skilledData Scientistto join ourmarketinganalytics organization. In this role, you willleveragestatistical modeling, machine learning, and data engineering techniques to deliver insights, build predictive models, and supportdatadrivendecisionmakingacross the businessconducting ad-hoc analysis.The ideal candidate is analytically strong, curious, and comfortable working with large datasets and modern data technologies. Key Responsibilities Analytics & Modeling(40%) Build,validate, and deploymachine learning models(classification, regression, forecasting, clustering, NLP, etc.) Conductstatistical analysesand A/B tests to evaluate business performance and product changes. Translate ambiguous business questions into structured analytical problems. Data Engineering & Preparation(10%) Acquire, clean, and manipulate large datasets from multiple sources. Build reproducible data pipelines using Python, SQL, andSnowflake. Work closely with data engineers tooptimizedata structures and improve data availability. Insights & Business Impact(40%) Deliver clear, actionable insights to stakeholders throughah-hoc analysis,dashboards, visualizations, and written summaries. Partner with product, marketing, finance, and operations teams toidentifyopportunities for optimization. Support KPI development and help teams understand business trends. Model Deployment & Monitoring(10%) Collaborate with engineering teams to deploy models into production environments. Monitor model performance and retrain/adjust, as necessary. Maintain documentation, reproducibility, and version control of all modeling work. Required Skills & Qualifications Bachelors orMasters degree inData Science, Statistics, Computer Science, Mathematics, ora relatedfield. 37+ years of experience applying data science techniques in a business environment. ProficiencyinPython(pandas,scikitlearn, NumPy,statsmodels)or other model building tools. Strong SQL skills and experience with relational or cloud databases. Deep understanding of statistical modeling, hypothesis testing, and experiment design. Experience withmachine learning, feature engineering, and model evaluation. Ability to communicate complex concepts tonontechnicalaudiences. Ability to perform ad-hoc analysis for LOBs. Preferred Qualifications Experience withcloud platformssuch asSnowflake,Azure, AWS, or GCP. Experience withbig data tools(Spark, Databricks, Snowflake,BigQuery, Redshift). Experience withdeep learning(PyTorch, TensorFlow) orNLP. Experience building dashboards in Power BI, Tableau, or similar tools. Experience as a data analyst conducting ad-hoc analysis. Knowledge of data governance and model lifecycle best practices. Soft Skills Strongproblemsolvingandcriticalthinkingskills. Comfort working infast paced, ambiguous environments. Curiosity and a continuous learning mindset. .