Data Scientist
Offer summary
Qualifications:
4+ years of experience in data science or analytics roles., Proficiency in programming languages such as Python, R, and SQL., Knowledge of data visualization tools like Tableau and Power BI., Familiarity with statistical modeling and machine learning techniques..Key responsibilities:
- Define analysis requirements and identify trends in data.
- Generate monthly forecasts and perform validation checks.
- Drive continuous improvement activities and collaborate with demand planners.
- Lead data discovery sessions and document modeling rules for data science projects.
Job description
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 help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.
How you will contribute
You will:
- Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements
- Identify patterns and help the business react to changing business conditions
- Perform root-cause analysis and interpret data
- Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards
- Understand and be involved with aspects of the data science process
- As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software
- Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills
- Develop key performance indicators and create visualizations of the data
- Utilize business intelligence and analytics tool
Key responsibilities:
Generate monthly forecast for the markets in scope as per IBP/Achilles calendar
Perform forecast validation checks and handover stats forecast to market
Driver CI activities including Experimentation, automation to increase value of the product to improve SFA, FVA and efficiency of forecast generation process
Driver market monthly RCA call to drive actionable insights in collaboration with Demand Planners to improve SFA and drive No Touch Adoption
Participate in Monthly BU leadership meetings and drive agenda for you markets in scope
Deliver zero defect mindset in collaboration with Data Engineering and MDS D&A Team
Build up Statistics SFA target achievement strategy in coordination with Product Owner & Demand Planner
Documentation of modelling rules, experimentation for markets in scope
Lead data discovery sessions from data science, guide MDS D&A and DE team members for o9 modelling needs and design validation rules for source data.
Participate in data discovery sessions from data science, in collaboration with MDS D&A and DE team members for o9 modelling needs and design validation rules for source data.
Job specific requirements:
Experience in any Data Science language like Python (preferred), PySpark (preferred), R
Experience with Cloud solutions (GCP) and deployment of data science models in production environment.
Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar.
Knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting.
Basic understanding of supply chain processes.
Should be able to articulate data science outcome into business understandable language.
Experience developing and deploying high standard Statistical and/or machine learning solution.
4+ years of experience in data science or analytics roles.
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
RegularData ScienceAnalytics & Data ScienceRequired profile
Experience
Hard Skills
Other Skills
- Forecasting
- Teamwork
- Business Acumen
- Communication
- Problem Solving