Data Science Senior Manager

Mondelez International; New Hanover Township (NJ); Remote; USD 137,000 - 189,000; Full time

Job summary

Join a leading company in the snack industry as a Data Scientist, where you'll leverage advanced analytics to drive business decisions. This remote role involves managing data science capabilities and collaborating with stakeholders to create impactful insights. With a focus on quantitative analysis and machine learning, you'll help shape the future of snacking while enjoying competitive benefits and opportunities for career growth.

Benefits

Health Insurance

Wellness Programs

Life Insurance

Retirement Plans

Paid Leave

Education Programs

Vacation Time

Qualifications

• 8+ years of experience in data science and quantitative disciplines.
• Strong applied knowledge of statistical modeling and machine learning.

Responsibilities

• Manage analytics to meet business requirements and drive decision-making.
• Develop predictive insights from diverse data sources.

Skills

Statistics

Linear Algebra

Programming

Data Visualization

Data Science

Communication

Education

Bachelor’s degree

Master’s degree in Mathematics

Tools

R

SAS

Python

Hadoop

Apache Spark

Job description

time left to apply Enddatum: 26. Mai 2025 (Noch 12 Tage Zeit für Bewerbung)

Stellenbeschreibung

Steht Umzugsbeihilfe zur Verfügung?

Es wird keine Umzugsunterstützung angeboten

Stellenbeschreibung

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 be responsible for building the data science roadmap for the business.

* This role will be 100% remote based.

How you will contribute

1. Manage the introduction and use of analytics to meet business requirements, ensuring consistency across all user groups. Establish and manage functional analytics methods, techniques, and capabilities to enable data analysis, generate insights, create value, and drive decision-making, while measuring the progress of initiatives and market successes.
2. Assess business problems to be solved and identify internal or external data sources to use or acquire.
3. Identify and validate external sources of information relevant to the operational needs of the enterprise.
4. Define business-oriented goals for initiatives and communicate these to business managers.
5. Apply expertise in analyzing high-volume, high-velocity, and diverse data (numbers, symbols, text, sound, images). Develop predictive, real-time, model-based insights to create value and support effective decision-making.
6. Understand the identification, validation, and exploitation of internal and external datasets from various functional processes; be an expert in functional data and datasets.
7. Recruit talent and build teams with the right 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, along with programming knowledge.
• Knowledge of 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 with querying databases.
• Experience in generating dashboards and manipulating data visualization software KPIs/dimensions.
• Ability to interface with high-level stakeholders (SVPs and above).

Require Experience:

• 8+ years of experience.
• Certifications such as SAS Base, SAS VF, SAS Visual Statistics, etc.
• Strong applied knowledge of statistical modeling and machine learning, with exposure to forecasting, especially driver-based forecasting.
• Experience working with FMCG, Food & Beverages, Retail, or similar industry data, with an understanding of business processes.
• Ability to articulate data science outcomes in business-understandable language.
• Fluent English; additional European languages are an advantage.

Required Education:

• Bachelor’s degree required.
• Master’s degree preferred in Mathematics, Statistics, or Business Analytics.

Travel:

• Travel up to 30%.

The base salary range for this position is $137,300.00-$188,825.00 for U.S. only; the exact salary depends on experience, skills, education, and budget. In addition to base salary, this position is eligible for a competitive bonus program with potential overachievement based on performance and company results.

Benefits include health insurance, wellness and family support programs, life and disability insurance, retirement plans, paid leave, education programs, holidays, and vacation time, subject to eligibility.

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Es wird keine Umzugsunterstützung angeboten

Geschäftsbereich Zusammenfassung

Die USA sind der größte Markt von Mondelēz International, mit großer Mitarbeiterzahl und hohem Produktionsvolumen. Hier produzieren wir beliebte Marken wie Oreo, Chips Ahoy!, Ritz, Wheat Thins, Triscuit, Swedish Fish und Sour Patch Kids. Wir haben Büros, Vertriebs-, Fertigungs- und Distributionsstandorte in den USA, um Verbraucher überall im Land zu versorgen.

Mondelēz Global LLC ist ein Equal Opportunity/Affirmative Action-Arbeitgeber. Bewerber werden ohne Rücksicht auf ethnische Herkunft, Hautfarbe, Religion, Geschlecht, sexuelle Orientierung, Geschlechtsidentität, Staatsangehörigkeit, Behinderungen, Veteranenstatus oder andere gesetzlich geschützte Merkmale berücksichtigt. Für Unterstützung bei der Bewerbung wenden Sie sich bitte an Tel.: [phone]. Weitere Informationen finden Sie in den Dokumenten zu Bundesrechten und Anti-Diskriminierung.

Stellentyp

Regulär, Data Science, Analytics & Data Science

Wir bei Mondelēz International setzen uns dafür ein, Menschen mit köstlichen, hochwertigen Snacks zu versorgen, die wichtige Momente bereichern, hergestellt mit nachhaltigen Zutaten und Verpackungen. Unser Portfolio umfasst bekannte Marken wie Oreo, belVita, LU, Cadbury Dairy Milk, Milka, Toblerone, Sour Patch Kids und Trident. Mit über 80.000 Mitarbeitern in mehr als 80 Ländern verkaufen wir unsere Produkte in über 150 Ländern weltweit. Werde Teil unserer Gemeinschaft und mach es zu deinem Moment!