Short Description:
The Forecasting Data Scientist role in Mumbai at Mondelēz involves driving transformation by conducting meticulous data analysis, defining requirements, and detecting patterns within extensive datasets. Responsibilities include executing comprehensive analysis aligned with business needs, facilitating responses to shifting conditions, and conducting root-cause analysis. Qualifications include proficiency in various tools like Excel, Power BI, SQL, Python, statistical software, and the ability to develop key performance indicators and data visualizations.
Position: Forecasting Data Scientist
Location: Mumbai, India
Time Type: Full time
Job Requisition ID: R-96417
Job Description
Are You Prepared to Drive Transformation at Mondelēz International?
Come Join Our Mission to Pioneer the Future of Snacking. Let's Create It With Pride.
Your role is to assist our business in adapting to evolving conditions by conducting meticulous data analysis. You will be responsible for defining requirements, performing in-depth analysis, and identifying patterns within extensive datasets.
Your Key Contributions:
You will:
- Specify the necessary analysis prerequisites for a particular business domain and execute comprehensive analysis to uncover trends aligned with the stipulated prerequisites.
- Detect patterns and facilitate the business in responding to shifting conditions.
- Conduct root-cause analysis and interpret data effectively.
- Handle extensive datasets, which include facts, figures, and mathematical/formulas, and undertake analytical tasks, delivering analysis outcomes that align with customer requirements and adhere to established standards.
- Acquire a comprehensive understanding and participate in various aspects of the data science process.
- In your role as the lead investigator on the data science team, you will leverage your language proficiency to extract data from SQL databases, employ Tableau/Power BI-type tools, and produce fundamental data visualizations and reporting dashboards.
Your Qualifications:
Your ambition to steer your career forward is essential, accompanied by the following experience and knowledge:
- Proficiency in Microsoft Excel, Power BI, SQL, R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, and statistical software.
- Sound mathematical and statistical skills, robust business insight, and proficient computer science/coding capabilities.
- Proficiency in developing key performance indicators and creating data visualizations.
- Harnessing business intelligence and analytics tools effectively.
More about this Role:
What You Should Be Aware of:
Additional Ingredients You'll Bring:
Education / Certifications:
Graduate / PG
Job Specific Requirements:
Travel Requirements:
Work Schedule:
Relocation support is available within the country. For candidates voluntarily relocating internationally, some minimal support is offered through our Volunteer International Transfer Policy.
Business Unit Summary
Mondelēz International is the world's foremost producer of chocolate, biscuits, and confectionery, as well as the second-largest gum manufacturer. Our North American and U.S. headquarters are located in East Hanover, New Jersey, approximately 25 miles from New York City. Our Canadian offices are situated in Toronto and Montreal. We maintain a substantial North American manufacturing presence, where we craft cherished snacks like Oreo cookies, belVita breakfast biscuits, Trident gum, and Cadbury chocolates. Our East Hanover site also houses our global research and development center, dedicated to our much-loved cookie and cracker brands.
USA:
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation during the job application process may contact 847-943-5460 for assistance.
Canada:
For candidates applying to positions in Canada, accommodations based on disabilities or other grounds protected by human rights legislation are available upon request throughout the entire employment selection process. For both internal and external applicants who require assistance in the recruitment and selection process, please contact 847-943-5460 for support.
Job Type: Regular
Category: Data Science
Business Area: Analytics & Data Science
Please click here to apply.