Nestlé, the largest food and beverage company,strong driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future.

Job Designation : Software Engineer – Data Scientist

Qualification :  Bachelor’s/Master’s Degree

Experience : Freshers/Experienced

Location :  Bengaluru, Karnataka, India

Skill Set :

  1. Advanced MS Excel, SQL, R, Python (or similar) knowledge.
  2. Sound knowledge of handling large datasets and reporting automation.
  3. Excellent understanding of marketing mix modelling and price & promotion analytics.
  4. Experience with dynamic linear models/state space models is of particular interest.
  5. Have the ability to network and influence at senior levels both internally and externally.
  6. Be able to interpret data and explain business performance in an easy to understand way that tells a story to key stakeholders.
  7. Have proven experience of working in a matrix environment; achieving results through effective influencing and collaboration.
  8. Good verbal and written communication skills.

Job Description :

You are an expert in applying advanced analytics to solve marketing and sales business problems. You are equally comfortable applying your knowledge to optimize marketing spend or working with sales to optimize trade spend.

You are hands-on in your ability to build models, but you are also comfortable coaching less experienced team members in how to solve problems, or managing agencies to deliver where needed. You know that having a great model isn’t enough, you love to derive the “so what” from your models and tell compelling stories which inspire action and drive growth.

  1. You’ll be responsible for using advanced analytics to provide robust measurements of marketing & trade investment across different business models, product categories and varied geographies.
  2. You will work closely with your stakeholders to provide guidance on how best to optimize and allocate marketing & trade investments in order to support the delivery of our commercial strategy.
  3.  Share your experience & knowledge and build Nestlé’s internal modelling capability.
  4. Partner with stakeholders to build and deliver a portfolio of advanced analytics initiatives.
  5. Work closely with to identify and answer business problems/questions using appropriate modeling techniques on available data.
  6. Evangelize and provide advisory services around data science capabilities and knowledge within Nestlé.
  7. Work with large, complex data sets and solve non-standard problems.