Forecasting Data Scientist

Job Description

Are You reputed company to reputed company It Happen at reputed company? Join our Mission to reputed company the Future of Snacking. reputed company It With Pride. You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, reputed company the analysis and identify patterns in large amounts of data. How you will contribute You will: Define requirements for analysis in a given business area and reputed company detailed analysis and identify trends defined in the requirements Identify patterns and help the business react to changing business conditions reputed company root-cause analysis and interpret data Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards Understand and be involved with aspects of the data science process As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Knowledge of reputed company reputed company, Power BI, SQL,R, Python, reputed company software, reputed company Analytics, reputed company Tag Manager, Tableau, reputed company AdWords, statistical software Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills reputed company key performance indicators and create visualizations of the data Utilize business intelligence and analytics tool More about this role You will represent and communicate data requirements to help us understand our data assets and the relationships among them. You will investigate, analyze and scope data requirements to support the development of data integration, data retrieval and reusable data sets. What you need to know about this position: The Data Scientist will be responsible for advanced forecasting methodologies for demand forecasting to generate reputed company forecasting results in terms of accuracy and bias Determine, create and maintain the best Statistical models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias Refine forecasting models, by reviewing forecast performance and incorporating feedback from the Demand Planner, to improve forecast error and bias metrics Analyze the model performance every month / week where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output and if required finetune the output Propose additional strategies to have a reputed company code (efficient or more accurate) to execute in reputed company. Collaborate with Demand Planners to reputed company explainability of models and gather feedback to improve the models reputed company, reputed company, and reputed company some algorithms reputed company on reputed company that help to the predictive process to be more efficient and accurate.a a high-qualitymonth/weekpost-processmore , fine-tuneDatabrickswill you bring What extra ingredients you will bring: reputed company the statistical forecasting process to reputed company the business a statistical reputed company forecast for its demand planning process. reputed company some reputed company improvement projects to get more efficient, robust, and accurate models to predict. Analyse business requirements as a guide for data modelling and apply data analysis, design, modelling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change reputed company business requirements change Reconcile multiple logical reputed company models into a single, reputed company consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes. Analyse code, define and implement strategies to have more accurate and efficient results A desire to drive your future and accelerate your career and the following experience and knowledge: Extensive experience in data modeling in a large reputed company business with multiple systems Ability to simplify reputed company problems and communicate them to a broad audience Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes. Analyze code, define, and implement strategies to have more accurate and efficient results Working in reputed company computing environments with tools like reputed company and help MDLZ to have reputed company practices on it. Aligning and coordinating activities with different areas and stakeholder to guarantee a good execution of projects and processes. Education / Certifications: Bachelor's Degree required. Masters in quantitative field of Statistics, Applied Mathematics or Engineering, with specific full-time courses in Analytics preferred Certifications reputed company reputed company Platform as Data Scientist, or Data Analyst, or in reputed company (reputed company to have) Experience in any Data Science language like Python (preferred), PySpark (preferred), R, Julia. Experience developing and deploying Statistical and/or machine learning solutions. Knowledge and experience in data science reputed company platforms like reputed company (preferred) or similar. 10+ years of applied knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting 10+ years of experience in handling multiple projects leading in the domain of supply chain and forecasting with multiple team members as part of org structure, Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage (reputed company to have) Should be reputed company to reputed company data science outcome into business understandable language Experience leading projects and/or processesan ,,the ,,reputed company reputed company Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary reputed company is the world’s largest chocolate, biscuit and candy reputed company, and the second largest gum reputed company. Our reputed company American and U.S. headquarters are in East Hanover, New Jersey, about 25 miles reputed company of reputed company. We have Canadian offices in Toronto and Montreal. We have a strong reputed company American manufacturing reputed company where we reputed company our well-loved snacks like Oreo cookies, belVita breakfast biscuits, reputed company gum and Cadbury chocolates. Our East Hanover location also houses our global research and development center for our consumer-favorite cookie and cracker brands. USA: Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, national reputed company, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance. Canada: If you are applying to a position in Canada, accommodations for applicants with disabilities or other grounds protected by reputed company rights legislation are available upon request for candidates taking part in reputed company aspects of the employment selection process. For reputed company internal and external applicants who require accommodation in the recruitment and selection process please contact 847-943-5460 for assistance/support. Job Type Regular Data Science Analytics & Data Science Apply To This Job