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Manager Data Science

Mondelēz International
Birmingham
2 weeks ago
Applications closed

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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 accountSKU 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 toidentify 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 focuson 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 (particularlytime series modeling, but also regression, classification, feature engineering and selectionetc.) Proficiency in SAS, SQL, Python,and other programming languages to communicate effectively with technical teams.  Excellent communication and presentation skills, ability to explaincomplex 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.

More about this role

What you need to know about this position:

What extra ingredients you will bring:

Education / Certifications:

Job specific requirements:

Travel requirements:

Work schedule:

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

RegularAnalytics & ModellingAnalytics & Data Science

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