Data Science Manager, CPG
Business Unit Head Office - East Hanover, USA, United States
Full Time Mid-level / Intermediate USD 117K - 161K
MondelÄz International
MondelÄz International, Inc. (NASDAQ: MDLZ) is one of the worldās largest snacks companies, empowering people to snack right in over 150 countries.Job Description
Are You Ready to Make It Happen at MondelÄz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
About MondelÄz InternationalĀ
At MondelÄz International, we're not just making snacks; we're crafting moments of joy for billions of people around the world. As the Manager of Data Science on our Insights & Analytics team, you'll be at the heart of this mission, shaping our data strategy and driving smarter decisions that fuel our global success.
MondelÄz International empowers people to snack right in over 150 countries around the world. With iconic global and local brands such as Oreo, BelVita, LU, Cadbury Dairy Milk, Milka and Toblerone we've been making delicious moments for people for over 100 years. We're a diverse community of passionate people, united by a shared purpose: to empower people to snack right.Ā
Make It Possible. In this role, you will create value and support decision making as you manage the functional data science capability through the application of mathematical, statistical, predictive modelling or machine-learning techniques to analyze CPG data and generate insights. You will help develop the data science roadmap for the business.Ā
This role will be 1-2 days in East Hanover office, 3 days remote.
How you will contribute
Drive Impactful Analytics: Manage the introduction and use of analytics to meet business requirements,Ā ensuring consistency across all user groups. You will manage functional analytics methods, techniques, and capabilities to enable theĀ functionĀ toĀ analyzeĀ data, generate insights, create value, and drive decision making while you measure the progressĀ ofĀ initiatives and market successes to the organization.
Strategic Roadmap Development Help elevate the data science roadmap for the business, aligning with key strategic priorities and driving long-term growth.Ā
Ā Data Assessment and Acquisition Assess business problems and determine the best internal and external data sources to use or acquire. Identify and establish the veracity of external sources of information relevant to operational needs.Ā
Ā Advanced Data Analysis Apply your expertise in analyzing data with high volumes, velocities, and variety (numbers, symbols, text, sound, and image). Develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision-making.Ā
Apply your expertise in analysis of data with high volumes, velocities, and variety (numbers, symbols, text, sound, andĀ image). In addition, you will develop forward-looking, predictive, real-time, model-based insights to create valueĀ and drive effective decision making.
Understand the identification, validation and exploitation of internal and external data setsĀ generated from a diverse range of functional processes and in general you will be an expert in functional data and data sets.
Recruit talent and build teams with the right mix of skills to staff projects.
What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in CPG and Data Science
Working experience in a quantitative discipline and data science.
Strong quantitative background in statistics and linear algebra as well as programming knowledge.
Knowledgeable in classification techniques, machine learning and EDA
Understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, ApacheĀ Spark, and familiarity querying databases.
Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions.
Interfacing with high-level stakeholders (SVPs and more).
More about this role
Required Experience:
6+ years of experience with at least 2-3 years in the CPG domain
Strong Applied Knowledge of analytical techniques in statistical modelling, machine learning with exposure to CPG related modeling techniques like Price & Promotion, Marketing Mix, Testing and custom in-store analytics
In depth knowledge of CPG business acumen and processes is preferred
Expertise within syndicated data platforms (NielsenIQ, Circana (IRI), Numerator, etc.) across POS and Shopper Panels
Possesses strong conceptual and analytical skills with the ability to analyze large datasets and make actionable recommendations
Technologically savvy with advanced Microsoft Excel, PowerBI and Tableau knowledge
Excellent communication skills and able to drive effective discussions. Experience managing and influencing stakeholders, key customers and cross functional partners
Ability to lead strategic projects and comfortable dealing with ambiguity
Experience building code in any of SAS Base, R, Python, SQL, Alteryx etc.
Experience on working with FMCG, Food & Beverages, Retail, or similar industry data with understanding the business process is crucial.
Should be able to articulate data science outcome into business understandable language.
Fluent English, other European languages would be an advantage.
Required Education:
Bachelorās degree required.
Masterās degree preferred in areas such as Mathematics, Statistics, and Business Analytics.
Travel:
Travel up to 10%
Compensation:
The baseĀ salaryĀ range for this position is $117,400 to $161,425; the exactĀ salaryĀ depends on several factors such as experience, skills, education, and budget. In addition to baseĀ 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.
No Relocation support availableBusiness Unit Summary
The United States is the largest market in the MondelÄz 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, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brandsāincluding Oreo andĀ Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products āare close at hand for our consumers across the country. Ā
MondelÄz 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 seeĀ eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal
Job Type
RegularAnalytics & ModellingAnalytics & Data ScienceTags: Business Analytics Classification Data analysis Data strategy Data visualization EDA Excel Hadoop KPIs Linear algebra Machine Learning Mathematics Power BI Python R SAS Spark SQL Statistics Tableau Testing
Perks/benefits: Career development Competitive pay Health care Insurance Relocation support Salary bonus Snacks / Drinks Startup environment Travel Wellness
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