Job
Description
You will be involved in providing advanced analytical capabilities to support data science initiatives. This role includes experience in various areas such as predictive modeling, time series and demand forecasting, optimization, linear and non-linear curve fitting, price elasticity, feature engineering, model development and management, production deployment of models, scalability of systems, and measurement in the realm of price optimization, dynamic pricing, and promotion analytics. As a Senior MLE, you will solve complex problems that require deploying models at scale. **Roles And Responsibilities:** - Apply advanced data science, machine learning (ML), and deep learning (DL) algorithms to derive insights and develop solutions for a competitive advantage. - Develop dashboard reports to track and measure financial results, customer satisfaction, and engagement metrics. - Lead automation and analytical projects by collaborating across functions. - Provide guidance to junior level scientists to translate requirements into an analytical approach. - Analyze data using statistical techniques and tools according to the project plan, communicating updates and managing scope with stakeholders. - Prepare final recommendations through storytelling and actionable insights for relevant stakeholders to build implementable and scalable solutions. - Execute a plan for measuring impact based on discussions with stakeholders, partners, and senior team members. - Ensure full adherence to enterprise project management practices by participating in formal and informal training. - Maintain senior-level knowledge on industry trends, emerging technologies, new methodologies, and apply them to projects while guiding team members. **Qualification Required:** - Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 4-8 years of experience in Predictive Analytics, Machine learning, and Statistical modeling with Python, SQL, and GCP or any other cloud data technologies. OR - Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 3-7 years of experience in Predictive Analytics, Machine learning, and Statistical modeling with Python, SQL, and GCP or any other cloud data technologies. OR - Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2-5 years of experience in Predictive Analytics, Machine learning, and Statistical modeling with Python, SQL, and GCP or any other cloud data technologies. **Primary Skills Required:** - 4 years of experience executing and deploying data science, ML, DL, and generative AI solutions, preferably in a large-scale enterprise setting. - 2 years of SQL and programming experience. - Bachelor's degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field. **Secondary Skills Required:** - Master's degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field. - 2 years of experience working with cross-functional partners. - 2 years of experience using multiple data systems and sources.,
