Forecasting Data Scientist

Title: Forecasting Data Scientist

Location: Business Unit Head Office - East Hanover United States

Job Description:

locations

Business Unit Head Office - East Hanover, USA

 

time type

Full-time

 

job requisition id

R-149608

 

Job Description

 

Are You Ready to Make It Happen at Mondelēz International?

 

Join our Mission to Lead the Future of Snacking. Make It With Pride.

 

You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.

 

How you will contribute

 

You will:

• Lead statistical forecasting process to provide business a statistical base forecast for its demand planning process.

• Lead some continuous improvement projects to get a more efficient, robust, and accurate models to predict.

• Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, 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 semantic 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 when business requirements change

• Reconcile multiple logical source models into a single, logically 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.  

• Analyze code, define and implement strategies to have more accurate and efficient results

 

What you will bring

 

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Extensive experience in data modeling in a large complex business with multiple systems
• Ability to simplify complex 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 cloud computing environments with tools like databricks and help MDLZ to have better practices on it.
• Aligning and coordinating activities with different areas and stakeholders to guarantee a good execution of projects and processes.

 

What you need to know about this position:

 

The Data Scientist will be responsible for advanced forecasting methodologies for demand forecasting to generate better forecasting results in terms of accuracy and bias

• Determine, create and maintain the best Statistical models 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 better code (efficient or more accurate) to execute in Databricks

• Collaborate with Demand Planners to provide explainability of models and gather feedback to improve the models 

• Lead, develop, and deploy some algorithms built on databricks that help the predictive process to be more efficient and accurate

 

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 Google Cloud Platform as Data Scientist, or Data Analyst, or in Databricks preferred

 

Job specific requirements:

• 5+ 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 (Preferred)

• Should be able to articulate data science outcome into business understandable language

• Experience leading projects and/or processes

• Fluent English is a must

• Experience in any Data Science language like Python, PySpark (preferred), R, Julia.

• Experience developing and deploying Statistical and/or machine learning solutions.

• Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar.  

• Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage (Preferred)

 

Work schedule:

 

This is a hybrid role- three days onsite at our East Hanover, NJ office. No option for 100% remote.

 

 

The base salary range for this position is $83,800 to $115,225; The exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.

 

In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.

 

Salary and Benefits:

 

The base salary range for this position is $83,800 to $115,225; The exact salary depends on several factors such as experience, skills, education and location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.

 

In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.

 

 

Relocation costs will not be covered

 

Business Unit Summary

 

The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, done the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the US to ensure our iconic brands—including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products—are close at hand for our consumers across the country. 

 

Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, 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.

 

For more information about your Federal rights, please see eeopost.pdf;EEO is the Law Poster Supplement;Pay Transparency Nondiscrimination Provision;Know Your Rights: Workplace Discrimination is Illegal

 

 

Job Type

 

Regular

 

 

Data Science

 

 

Analytics & Data Science