Senior Power BI Data Scientist

Job Description

You are an experienced Data Scientist specializing in forecasting, joining a dynamic data science team. Your role involves utilizing statistical and machine learning techniques for time series forecasting and demand prediction. You will analyze historical data to uncover trends, seasonality, and patterns for accurate forecasting. Building and optimizing machine learning models using cutting-edge techniques is crucial, along with effectively communicating insights and results to technical and non-technical stakeholders. Collaborating with data engineering teams to ensure high-quality data inputs and staying updated on the latest forecasting advancements are key responsibilities. Additionally, you will provide leadership in forecasting and mentor junior team members to establish best practices across the organization.Qualifications Required:- Hold a Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative field- Possess 4 years of experience in developing and deploying forecasting models in a business setting- Expertise in time series analysis and forecasting techniques like ARIMA, SARIMA, Holt-Winters, and advanced machine learning methods- Proficiency in programming languages such as Python or R for data manipulation, model building, and statistical analysis- Hands-on experience with forecasting tools and libraries like Prophet, scikit-learn, TensorFlow, PyTorch- Strong understanding of data structures, data wrangling, and working with large datasets- Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and distributed data environments- Excellent problem-solving skills and the ability to translate complex data into actionable insights- Strong communication and presentation abilities to convey complex concepts to diverse audiences- Experience with visualization tools like Tableau, Power BI, or similar for presenting forecasting outcomes- Previous experience in demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or finance- Proficient in deploying models in production environments and collaborating with engineering teams for scalable solutions(Note: Additional details about the company were not provided in the job description.) You are an experienced Data Scientist specializing in forecasting, joining a dynamic data science team. Your role involves utilizing statistical and machine learning techniques for time series forecasting and demand prediction. You will analyze historical data to uncover trends, seasonality, and patterns for accurate forecasting. Building and optimizing machine learning models using cutting-edge techniques is crucial, along with effectively communicating insights and results to technical and non-technical stakeholders. Collaborating with data engineering teams to ensure high-quality data inputs and staying updated on the latest forecasting advancements are key responsibilities. Additionally, you will provide leadership in forecasting and mentor junior team members to establish best practices across the organization.Qualifications Required:- Hold a Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative field- Possess 4 years of experience in developing and deploying forecasting models in a business setting- Expertise in time series analysis and forecasting techniques like ARIMA, SARIMA, Holt-Winters, and advanced machine learning methods- Proficiency in programming languages such as Python or R for data manipulation, model building, and statistical analysis- Hands-on experience with forecasting tools and libraries like Prophet, scikit-learn, TensorFlow, PyTorch- Strong understanding of data structures, data wrangling, and working with large datasets- Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and distributed data environments- Excellent problem-solving skills and the ability to translate complex data into actionable insights- Strong communication and presentation abilities to convey complex concepts to diverse audiences- Experience with visualization tools like Tableau, Power BI, or similar for presenting forecasting outcomes- Previous experience in demand forecasting, sales forecasting, or supply chain optimization in industries such as retail, manufacturing, or finance- Proficient in deploying models in production environments and collaborating with engineering teams for scalable solutions(Note: Additional details about the company were not provided in the job description.)

Keyskills :
Data ScienceForecastingStatistical AnalysisMachine LearningTime Series AnalysisARIMANeural NetworksPythonData ManipulationModel BuildingData StructuresData WranglingCloud ComputingCommunication SkillsPresentation SkillsDemand Forecasting