Data Scientist

**Job Description**:
**Responsibilities**:

- Lead a team of Data Scientist professionals that bring functional & Technical excellence together to deliver Data Science use-cases in Mondelēz as experiments or industrialized data science products.
- Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand business needs and identify data science opportunities
- Design and implement data science models and algorithms to solve complex business problems using GCP/Azure Databricks platform
- Collect, clean, and preprocess large datasets from various internal and external sources.
- Streamlining data science process working with Data Engineering, and Technology teams.
- Managing multiple analytics projects within a Function to deliver end-to-end data science solutions, creation of insights and identify patterns.
- Develop and maintain data pipelines and infrastructure to support the data science projects
- Communicate findings and recommendations to stakeholders through data visualizations and presentations.
- Stay up to date with the latest data science trends and technologies, specifically for GCP companies

**Education / Certifications**:
Bachelor’s or Master’s in Computer Science, Engineering, Computational Statistics, Mathematics.

**Job specific requirements**:

- Brings 5+ years of deep data science experience
- Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon
- Experience with programming languages such as Python, R, Spark
- Experience with data visualization tools such as Tableau, Power BI, and D3.js
- Strong understanding of data structures, algorithms, and software design principles
- Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
- Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.
- Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs.
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills

**Travel requirements**:10%

This is an excellent opportunity for a full-stack data scientist to take their career to the next level by working with the latest technologies and driving business value.

**Business Unit Summary**:
**Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as **_Oreo _**and **_belVita _**biscuits, **_Kinh Do _**mooncakes, **_Cadbury, Cadbury Dairy Milk _**and **_Milka _**chocolate, **_Halls _**candy, **_Stride _**gum, **_Tang _**powdered beverage and **_Philadelphia _**cheese. We are also proud to be named a Top Employer in many of our markets.**:
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.

**Job Type**:
Regular

Data Science

Analytics & Data Science