Senior Data Scientist - Supply Chain
Bangalore, IN, 560103
Nestlé
Nestlé is the world's largest food & beverage company. We unlock the power of food to enhance quality of life for everyone, today and for generations to come.About IT in Nestlé
We are a team of IT professionals from diverse cultures, genders and age groups in the world’s largest food and beverage company. We innovate every day through forward-looking technologies to create opportunities for Nestlé’s digital challenges with our consumers, customers and employees.
We have exciting positions in our new Nestlé global services operations based in Bangalore, which works alongside our Regional IT Hub in Sydney and Global IT hubs to provide technology services. This set up will design, implement and maintain IT solutions and sharpen Nestlé’s focus in the growing areas of digital, analytics and innovation to support changing customer, consumer and shopper focus.
When you join our IT team, you’ll have the opportunity to collaborate across local and global Nestlé teams and external partners to deliver innovative technologies that create tangible business value and contribute proactively to our sustainability goals. Our diversity brings fresh and innovative thinking to how we approach new and existing challenges while embracing different cultures, genders, sexual orientation, abilities and flexible ways of working.
Watch our videos on women in IT and flexibility in IT and visit IT Jobs and Vacancies in India | Nestlé (nestle.in) to learn more.
Senior Data Scientist – Job description
Bachelor’s degree or higher (Engineering/ Computer Science)
• Masters would be good to have (in disciplines like Data Science, Business Administrations, and Economics)
• 6-9 years of experience in Analytics embedded in Business organizations .
• At least 2 years of excellent hands on experience developing advance predictive models to solve business problems
• At least 2 years of experience working in a coding language such as R, SQL, Python or similar language
• You have strategic thinking and business acumen
• You are experienced in stakeholder management as well as in conflict resolution in a cross-functional environment.
• You are eager to learn new things and are open to the ever changing needs of the new digital world whatever that may mean over the years to come.
• Demonstrates personal commitment to change through actions and words
• You communicate effectively with all levels of business and technical professionals in English
• Experience having worked in a global environment and with virtual team.
Mandatory Skills:
- Data science domain
- Supply Chain domain experience at least 2 years is mandate
- Statistics, understanding algorithms, ML, Predictive modelling, supervise learning,
- Tech stack : Azure Cloud, Data Bricks, programming language like Python, or R Programming,
About Nestlé
We are Nestlé, the largest food and beverage company in the world, with a presence in more than 185 countries. With net sales of CHF 94.4 billion in 2022, the company has over 291,000 employees and 418 factories in 85 countries. Our values are based on respect: respect for ourselves, respect for others, respect for diversity, and respect for our future. Nestlé is dedicated to offering high-quality food and beverage products and services that contribute to the nutrition, health, and well-being of people, pets, and the planet. Additionally, it is committed to being a leading company in sustainability and achieving net zero greenhouse gas emissions by 2050. Want to learn more? Visit us at: www.nestle.com
We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.
Step outside your comfort zone; share your ideas, way of thinking and working to make a difference to the world, every single day. You own a piece of the action – make it count.
Join Nestlé’s IT Hub #beaforceforgood
How we will proceed:
You send us your CV → We contact relevant applicants → Interviews → Feedback → Job Offer communication to the Finalist → First working day
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Databricks Economics Engineering Machine Learning Python R SQL Statistics
Perks/benefits: Flex hours
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