Data Science Senior Manager

Posted 3 Days Ago
12 Locations
Remote
Hybrid
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
We're a global snacking company empowering people to snack right.
The Role
The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.
Summary Generated by Built In

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Possible.
In this role you will make an impact on our business by creating value and supporting decision making as you manage the functional data science capability through the application of mathematical, statistical, predictive modelling or machine-learning techniques to analyze data and generate insights. You will have the responsibility to build the data science roadmap for the business.
* This role will be 100% remote based.
How you will contribute• Manage the introduction and use of analytics to meet business requirements, ensuring consistency across all user groups. Also, you will establish and manage functional analytics methods, techniques, and capabilities to enable the function to analyze data, generate insights, create value, and drive decision making while you measure the progress of initiatives and market successes to the organization.• Assess the business problems to be solved and what internal or external data sources to use or acquire.• Identify and establish the veracity of the external sources of information that are relevant to the operational needs of the enterprise.• Define business-oriented goals for initiative(s) and explain the initiative(s) to business managers.• Apply your expertise in analysis of data with high volumes, velocities, and variety (numbers, symbols, text, sound, and image). In addition, you will develop forward-looking, predictive, real-time, model-based insights to create value and drive effective decision making.• Understand the identification, validation and exploitation of internal and external data sets 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:• 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, collaborative filtering, association rules, and heuristics approaches.• Understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, and familiarity querying databases.• Familiarity generating dashboards and manipulating data visualization software KPIs/dimensions.• Interfacing with high-level stakeholders (SVPs and more).
Require Experience:

  • 8+ years of experience.
  • Certifications any of SAS Base, SAS VF, SAS Visual Statistics, etc.
  • Strong Applied Knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting.
  • Experience on working with FMCG, Food & Beverages, Retail, or similar industry data with understanding the business process with be advantage.
  • Should be able to articulate data science outcome into business understandable language.
  • Fluent English, other European languages would be an advantage.


Required Education:

  • Bachelor's degree required.
  • Master's degree preferred in areas such as Mathematics, Statistics, and Business Analytics.


Travel:

  • Travel up to 30%


The base salary range for this position is $137,300.00-$188,825.00; 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.
No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce 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 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

Top Skills

Python
R
SAS
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The Company
HQ: Chicago, IL
90,000 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Mondelēz International, Inc. (NASDAQ: MDLZ) is an American multinational confectionery, food, and beverage company based in Illinois which employs approximately 90,000 individuals around the world.

Our Purpose
Our purpose is to empower people to snack right. We will lead the future of snacking around the world by offering the right snack, for the right moment, made the right way.

Our Brands
We’re leading the future of snacking with iconic brands such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum.

Our People
Our 90,000+ colleagues around the world are key to the success of our business. Our Values and Leadership Commitments of Love our Consumers and Brands, Grow Every Day, and Do What's Right shapes our culture – what we believe in, stand for, and what guides our actions and decisions. Great people and great brands. That’s who we are.

Our Strategies
We are uniquely positioned to lead the future of snacking with strong leadership in our categories, an unparalleled portfolio of global and local brands, and a solid footprint in fast-growing markets. Aimed at delivering sustainable growth, our strategic plan is centered around three strategic priorities:

• Growth: accelerate consumer-centric growth
• Execution: drive operational excellence
• Culture: build a winning growth culture

Why Work With Us

We offer passionate, energetic and curious people a huge choice of careers in our fun, fast-paced, global business. We operate in four regions: Asia, Middle East & Africa; Europe; Latin America; and North America. And in over 80 countries our people are united in a common purpose to empower people to snack right.

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Mondelēz International Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

#TeamMDLZ F​lexible Work​ing Pledge: We Trust each other to work flexibly and productively We show Empathy, encouraging belonging and connection We are Mindful of making space and taking time

Typical time on-site: Flexible
HQChicago, IL
MY
Singapore
Athens, GR
Bogotá, CO
Bratislava, SK
Bratislava, SK
Breda, NL
Bucharest, RO
Hungary
Buenos Aires, Buenos Aires
East Hanover, NJ
İstanbul, Istanbul
Mexico, MX
Mumbai, IN
Praha, CZ
Santa Ana, CR
Santa Fé, MX
São Paulo, BR
Warsaw, PL
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