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    Manager, Data Science - Mumbai, India - Mondelēz International

    Mondelēz International
    Mondelēz International Mumbai, India

    2 weeks ago

    Default job background
    Full time
    Description

    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 creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.

    How you will contribute

    You will:

  • Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling
  • Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights
  • Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results
  • Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
  • Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
  • Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making
  • Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements

    • What you will bring

    A desire to drive your future and accelerate your career and the following experience and knowledge:

  • Strong quantitative skillset with experience in statistics and linear algebra.
  • A natural inclination toward solving complex problems
  • Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it
  • Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons
  • Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
  • Good communication skills to promote cross-team collaboration
  • Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
  • Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders

    • We are seekinga highly skilled and motivated senior data scientist to support a big data program in North America. The successful candidate will play a pivotal role in supporting multiple projects in this program covering traditional tasks from revenue management, demand forecasting, improving customer experience to testing/using new tools/platforms such as Copilot Fabric for different purpose. The expected candidate would have deep expertise in machine learning methodology and applications. And he/she should have completed multiple large scale data science projects (full cycle from ideation to BAU). Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. This is a data science role directly embedded into the program/projects, stake holder management and collaborations with patterner are crucial to the success on this role (on top of the deep expertise).

    What we are looking for:

  • Highly efficient in Python/Pyspark/R.
  • Understand MLOps concepts and have experiences in product industrialization (from data science point of view). Experience in building product for live deployment, CI/CD.
  • Proficient with cloud platforms like Azure, GCP, including their data management systems.Experienced in using Databricks for product deployment.
  • Experience in ML projects involving techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches.
  • Solid background in statistics, probability distributions, A/B testing validation, univariate/multivariate analysis, hypothesis test for different purpose, data augmentation etc.
  • Clear algorithmic thinking, display clear logic in problem solving.
  • Familiar with designing testing framework for different modelling practice/projects based on business needs.
  • Exposure to Gen AI tools and enthusiastic about experimenting and have new ideas on what can be done.
  • Understanding toward Gen AI models and techniques, GANs, transformers, vectorization, RAG etc.
  • If they have improved an internal company process using an AI tool, that would be great (e.g. process simplification, manual task automation, auto emails)
  • Ideally, 10+ years of experience, and have been on independent business facing roles.
  • CPG or retail as a data scientist would be nice, but not number one priority, especially for those who have navigated through multiple industries.
  • Being proactive and collaborative would be essential.

    • Non-technical Skills:

  • Communication for success, stakeholder management, technical documentation, creating playbooks etc.
  • Time management: Prioritization of tasks and work stream optimization.
  • Basic understanding of regulations around use of data, able to map them to the actual tasks.
  • Resource management, project planning according to data science project life cycles.
  • 3rd party management.
  • Able to interact with project squad effectively considering the complex structure.

    • Some projects examples within the program:

  • Test new tools/platforms such as Copilot, Fabric for commercial reporting. Testing, validation and build trust.
  • Building algorithms for predicting trend in category, consumptions to support dashboards.
  • Revenue Growth Management, create/understand the algorithms behind the tools (can be built by 3rd parties) we need to maintain or choose to improve. Able to prioritize and build product roadmap. Able to design new solutions and articulate/quantify the limitation of the solutions.
  • Demand forecasting, create localized forecasts to improve in store availability. Proper model monitoring for early detection of potential issues in the forecast focusing particularly on improving the end user experience.

    • This position offers a fantastic opportunity for a senior data scientist ready to advance their career by joining a major big data initiative, supported by significant investment. This program is designed to make a substantial impact in the near future using data science and other cutting-edge technologies. The role promises to be enjoyable for the right candidate, as they will be part of a highly diverse and creative team. We are seeking someone who is not only truly passionate about this field but also deeply knowledgeable.

    Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

    Business Unit Summary

    At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

    We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

    Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

    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 Science
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