Mondelez International products
Mondelēz International Logo

Mondelēz International

Manager Data Science

Reposted 5 Days Ago
Be an Early Applicant
Hybrid
2 Locations
Senior level
Hybrid
2 Locations
Senior level
Lead and mentor a data science team, improving analytical methods for business insights and solutions, with a focus on time series forecasting.
The summary above was generated by AI
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 be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights.
About the role
In this role you will:
  • Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
  • Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.
  • Support the team in analyzing and deriving value from data using application methods such as statistics, time series modelling, machine learning and data visualization.
  • Help the team determine, create and maintain the best time series / machine learning models be to use, taking into account SKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.
  • Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.
  • Collaborate with stakeholders to identify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.

The experience we are looking for:
  • A desire to drive your future and accelerate your career and the following experience and knowledge:
  • Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.
  • 5+ years of experience in data science, preferably with a focus on time series forecasting, FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.
  • Experience in application of ML concepts and methodologies (particularly time series modeling, but also regression, classification, feature engineering and selection etc.)
  • Proficiency in SAS, SQL, Python, and other programming languages to communicate effectively with technical teams.
  • Excellent communication and presentation skills, ability to explain complex analytical topics to both technical and non-technical stakeholders.
  • Advanced English

What we offer
  • Exciting work in a multi-cultural team of bright minds.
  • Global career opportunities.
  • Flexible remote work options, or - if you prefer - access to one of our modern offices.
  • All kinds of benefits depending on the location.

Relocation Support Available?
No Relocation support available
Business Unit Summary
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our succes
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER
Job Type
Regular
Analytics & Modelling
Analytics & Data Science

Top Skills

Python
SAS
SQL

Similar Jobs at Mondelēz International

Yesterday
Hybrid
Athens, GRC
Senior level
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The People Lead Commercial will partner with business leaders to drive workforce performance, manage talent, and align HR strategies with business goals, leveraging data analytics for decision-making.
Top Skills: Data Analytics
2 Days Ago
Hybrid
Athens, GRC
Senior level
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
As a Senior IAM Engineer, you'll assess information security risks, implement cyber security technology, and support compliance and training initiatives.
Top Skills: Cyber Security TechnologiesPing Identity
4 Days Ago
Hybrid
3 Locations
Mid level
Mid level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Manage product strategy for RGM data products, collaborate with stakeholders, ensure data quality, and leverage cloud technologies to drive business outcomes.
Top Skills: AWSAzureGoogle Cloud PlatformPower BISQLTableau

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account