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Data Scientist 1

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Mondelēz International

1mo ago

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Data
    IT & Cybersecurity
  • Mumbai

AI generated summary

  • You need a relevant degree, strong skills in Python, SQL, data visualization, NLP, cloud platforms, ethical GenAI, and knowledge of the consumer goods industry and data workflows.
  • You will analyze data trends, develop AI models, create visualizations, identify anomalies, and collaborate with teams to enhance commercial reporting solutions.

Requirements

  • Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.
  • Strong analytical and critical thinking skills, with the ability to identify challenges and propose practical solutions.
  • Proficient in handling large datasets using Python and SQL.
  • Proficiency in data visualization tools (e.g., Tableau, PowerBI).
  • Familiarity with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions.
  • Experience with data preprocessing, cleaning, and ETL processes.
  • Experience with Natural Language Processing (NLP) techniques.
  • Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field.
  • Basic understanding of the ethical implications of GenAI, including issues related to bias, fairness, and the use of synthetic data.
  • Understanding of the consumer goods industry or Retail or similar industries.
  • Working knowledge of syndicated data (e.g., Nielsen/IRI or other EPOS/Retail Sales data source.)
  • Proficiency in using data containerization and orchestration tools to create and maintain complex data workflows.
  • Experience with additional programming languages, such as PySpark and R.
  • Experience with leveraging Large Language Models (LLMs) to build GenAI proof-of-concepts and/or solutions.
  • Experience with Langchain or similar frameworks for building language applications.

Responsibilities

  • 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
  • Utilize Analytical AI algorithms (e.g., linear regression, decision trees, boosted trees models) to automatically gather insights that will be presented in the commercial reporting solution of the company
  • Leverage anomaly detection algorithms (e.g., isolation forest) to identify anomalies within the data and generate alerts for the commercial reporting team
  • Leverage Large Language Models (LLMs) to build GenAI capabilities to help the commercial reporting team summarize the current state of the business and explain the why behind the numbers
  • Design, develop, and implement AI models to gather insights about customers, brands, categories and products for the commercial reporting team
  • Leverage GenAI models for generating innovative insights and improve the way reporting is done at Mondelez
  • Work collaboratively with multiple teams to ensure smooth implementation of the Analytical AI and GenAI capabilities into the company dashboard
  • Regularly update and refine the AI and GenAI solution with new data sources and features
  • Oversee the extraction, preparation, and utilization of large datasets required for model training, validation, and implementation, ensuring data quality and relevance
  • Maintain comprehensive documentation of AI models and GenAI solutions, their logic, and performance metrics
  • Regularly report on the tool's achievements, challenges, and suggested enhancements to senior management and relevant stakeholders

FAQs

What is the primary responsibility of a Data Scientist 1 at Mondelēz International?

The primary responsibility of a Data Scientist 1 is to analyze large amounts of data, define analysis requirements, identify patterns, and help the business react to changing conditions through detailed analysis and reporting.

What tools and technologies are required for this role?

Candidates should have knowledge of Microsoft Excel, Power BI, SQL, R, Python, SAS software, Tableau, and statistical analysis tools.

Is experience with AI and GenAI necessary for this position?

While prior experience with AI and GenAI concepts is beneficial, proficiency in Analytical AI solutions and familiarity with Generative AI applications will be valuable in driving actionable insights and enhancing reporting capabilities.

What educational background is required for this job?

A Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field is required.

What kind of skills will I need to effectively perform in this role?

Strong analytical and critical thinking skills, proficiency in handling large datasets with Python and SQL, as well as experience with data visualization tools like Tableau and Power BI are essential, along with a basic understanding of the consumer goods industry.

Will I be working independently or collaboratively?

You will work collaboratively with multiple teams to ensure smooth implementation of Analytical AI and GenAI solutions into the company dashboard.

Is there an opportunity for growth within the company?

Yes, Mondelēz International encourages career development and provides opportunities for employees to grow their skills and advance their careers.

Are relocation support options available for candidates?

Yes, relocation support is available within the country, and minimal support is offered for candidates voluntarily moving internationally through the Volunteer International Transfer Policy.

How does Mondelēz International approach diversity and inclusion?

Mondelēz International is an equal opportunity employer committed to diversity and inclusion, ensuring that all qualified applicants receive consideration for employment without regard to any protected characteristics.

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Mondelēz International

We’re a house of incredible brands providing people with the right snack, for the right moment, made the right way.

Retail & Consumer Goods
Industry
10,001+
Employees
2012
Founded Year

Mission & Purpose

Mondelez International is a global snacking company that manufactures and markets a wide range of well-known snack brands. Their portfolio includes iconic brands such as Cadbury, Oreo, Toblerone, Milka, and Trident, among others. Mondelez International's mission is to create delicious moments of joy by offering consumers high-quality and indulgent snacking options. They strive to delight consumers with their products and bring happiness to people's lives through the enjoyment of their snacks. With a commitment to sustainability and community engagement, Mondelez International aims to make a positive impact on society and be a responsible corporate citizen.