You are a Senior Data Scientist who is passionate about leveraging data to solve complex business problems. Your role involves collaborating closely with various teams to drive data-driven strategies and develop predictive models for demand forecasting, pricing optimization, and inventory planning. **Key Responsibilities:**
Design, build, and deploy predictive and optimization models for demand forecasting, dynamic pricing, or inventory optimization. - Translate business problems into analytical frameworks to provide actionable insights. - Develop and maintain scalable data pipelines and model workflows using Python and SQL. - Collaborate with data engineers to ensure seamless model integration into production systems. - Present findings and recommendations to leadership through data visualizations and storytelling. - Stay updated with the latest advancements in machine learning, statistics, and operations research. - Lead and mentor junior data scientists and analysts as needed. **Required Skills and Experience:**
5+ years of experience in a Data Science or Analytics role with a significant business impact. - Proficient in Python (pandas, scikit-learn, statsmodels) and SQL for data manipulation. - Deep understanding of machine learning algorithms including regression, classification, clustering, and time series forecasting. - Experience in domains such as Demand Forecasting, Price Optimization, or Inventory Optimization. - Strong problem-solving and quantitative skills. - Familiarity with large datasets, distributed computing tools (e.g., Spark, Hadoop), and data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). **Preferred Qualifications:**
Masters or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or related field. - Experience in retail, e-commerce, manufacturing, or logistics is a strong plus. - Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) and MLOps tools/platforms is advantageous. You are a Senior Data Scientist who is passionate about leveraging data to solve complex business problems. Your role involves collaborating closely with various teams to drive data-driven strategies and develop predictive models for demand forecasting, pricing optimization, and inventory planning. **Key Responsibilities:**
Design, build, and deploy predictive and optimization models for demand forecasting, dynamic pricing, or inventory optimization. - Translate business problems into analytical frameworks to provide actionable insights. - Develop and maintain scalable data pipelines and model workflows using Python and SQL. - Collaborate with data engineers to ensure seamless model integration into production systems. - Present findings and recommendations to leadership through data visualizations and storytelling. - Stay updated with the latest advancements in machine learning, statistics, and operations research. - Lead and mentor junior data scientists and analysts as needed. **Required Skills and Experience:**
5+ years of experience in a Data Science or Analytics role with a significant business impact. - Proficient in Python (pandas, scikit-learn, statsmodels) and SQL for data manipulation. - Deep understanding of machine learning algorithms including regression, classification, clustering, and time series forecasting. - Experience in domains such as Demand Forecasting, Price Optimization, or Inventory Optimization. - Strong problem-solving and quantitative skills. - Familiarity with large datasets, distributed computing tools (e.g., Spark, Hadoop), and data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). **Preferred Qualifications:**
Masters or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or related field. - Experience in retail, e-commerce, manufacturing, or logistics is a strong plus. - Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) and MLOps tools/platforms is advantageous.
