Global Data Scientist, hibrido
Empresa
Nestle
Provincia
Barcelona
Ciudad
Barcelona
Tipo de Contrato
Tiempo Completo
Descripción
Global Data Scientist
Position Snapshot:
Type of Contract: Permanent
Function and Stream: NHS Global Data
Type of work: Hybrid
Work Language: Fluent Business English
Work Location: Esplugues de Llobregat (Barcelona)
The role:
In this role, you will have the opportunity to design and deploy analytical and machine-learning solutions that solve complex business challenges. You will transform datasets into clear, actionable insights and partner with Data Engineering to scale models into production. You will also support stakeholders with data-driven recommendations and contributions to team development through mentoring.
What youll do:
Statistical Modelling, Machine Learning Predictive Analytics. Build, test, and deploy econometric or ML/statistical models, develop predictive models for forecasting behaviour, demand or ROI, developing segmentation models and clustering, creating algorithms to automate insights or decisions, evaluating model performance and refinings based on diagnostics
Experimentation Causal Inference Designing and evaluating experiments to estimate price elasticity at product or category level, effects of price changes on customer behaviour, cross-elasticities between the products and substitute goods
Specific Activities for Marketing mix modelling and Price Elasticity Simulate multiple business scenarios using elasticity curves, MMM-based channel response curves, seasonality and macro factors.
Data Visualization, Story-telling Stakeholder Communication. Translate insights into clear recommendations for stakeholders promote analytics best practices and data literacy.
We offer you:
We offer more than just a job. We put people first and inspire you to become the best version of yourself.
Great benefits including salary and a comprehensive social benefits package. We have one of the best pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.
Join our global team of professionals at Nestlé, driving daily innovation and leveraging cutting-edge technologies to address digital opportunities. Grow professionally in a dynamic and impactful environment, collaborating with business partners worldwide to deliver integrated technology solutions!
What will make you a great fit?
- 3-6 years of applied data science experience, with proficiency in Python, SQL and core ML/statistical methods.
- Ability to turn complex business questions into experiments and actionable insights for both technical and non-technical audiences
- ML Model deployment/cloud/ML Ops knowledge
Bonus Points If You have:
- Experience with cloud platforms (AWS/Azure/GCP), big data tools, and CI/CD/Git for MLOps.
- Expertise in pricing/SRM (elasticity, PPA, promo analytics) with exposure to eCommerce analytics.
- Strong data visualization skills (e.g., Power BI) to turn insights into compelling decision assets.
- Background in FMCG exposure to consumer health/pharma and prior mentoring/coaching experience
Not a 100 match? No worries! Nestlé supports your personal growth with customized development solutions.
What you can expect in your application journey:
1. Hit apply and enter our job portal.
2. Submit your application with your CV.
3. We will contact relevant applicants.
4. Interviews (HR, Hiring team and stakeholders).
5. Feedback.
6. We make an offer.
7. Location dependent checks and pre-onboarding.
8. First working day.
About the IT Hub
At Nestlé IT, we are a diverse, global team of IT professionals in the biggest health, nutrition and wellness company of the world. We strive to create an environment where people are valued for who they are. We innovate every day through future-ready technologies to create opportunities for Nestlé to delight consumers, customers and employees alike. We collaborate with partners around the world to deliver tangible value on a global scale. We continuously work to develop our people to be future ready
Python, SQL, Machine Learning, Power BI, AWS, Azure,
Position Snapshot:
Type of Contract: Permanent
Function and Stream: NHS Global Data
Type of work: Hybrid
Work Language: Fluent Business English
Work Location: Esplugues de Llobregat (Barcelona)
The role:
In this role, you will have the opportunity to design and deploy analytical and machine-learning solutions that solve complex business challenges. You will transform datasets into clear, actionable insights and partner with Data Engineering to scale models into production. You will also support stakeholders with data-driven recommendations and contributions to team development through mentoring.
What youll do:
Statistical Modelling, Machine Learning Predictive Analytics. Build, test, and deploy econometric or ML/statistical models, develop predictive models for forecasting behaviour, demand or ROI, developing segmentation models and clustering, creating algorithms to automate insights or decisions, evaluating model performance and refinings based on diagnostics
Experimentation Causal Inference Designing and evaluating experiments to estimate price elasticity at product or category level, effects of price changes on customer behaviour, cross-elasticities between the products and substitute goods
Specific Activities for Marketing mix modelling and Price Elasticity Simulate multiple business scenarios using elasticity curves, MMM-based channel response curves, seasonality and macro factors.
Data Visualization, Story-telling Stakeholder Communication. Translate insights into clear recommendations for stakeholders promote analytics best practices and data literacy.
We offer you:
We offer more than just a job. We put people first and inspire you to become the best version of yourself.
Great benefits including salary and a comprehensive social benefits package. We have one of the best pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.
Join our global team of professionals at Nestlé, driving daily innovation and leveraging cutting-edge technologies to address digital opportunities. Grow professionally in a dynamic and impactful environment, collaborating with business partners worldwide to deliver integrated technology solutions!
What will make you a great fit?
- 3-6 years of applied data science experience, with proficiency in Python, SQL and core ML/statistical methods.
- Ability to turn complex business questions into experiments and actionable insights for both technical and non-technical audiences
- ML Model deployment/cloud/ML Ops knowledge
Bonus Points If You have:
- Experience with cloud platforms (AWS/Azure/GCP), big data tools, and CI/CD/Git for MLOps.
- Expertise in pricing/SRM (elasticity, PPA, promo analytics) with exposure to eCommerce analytics.
- Strong data visualization skills (e.g., Power BI) to turn insights into compelling decision assets.
- Background in FMCG exposure to consumer health/pharma and prior mentoring/coaching experience
Not a 100 match? No worries! Nestlé supports your personal growth with customized development solutions.
What you can expect in your application journey:
1. Hit apply and enter our job portal.
2. Submit your application with your CV.
3. We will contact relevant applicants.
4. Interviews (HR, Hiring team and stakeholders).
5. Feedback.
6. We make an offer.
7. Location dependent checks and pre-onboarding.
8. First working day.
About the IT Hub
At Nestlé IT, we are a diverse, global team of IT professionals in the biggest health, nutrition and wellness company of the world. We strive to create an environment where people are valued for who they are. We innovate every day through future-ready technologies to create opportunities for Nestlé to delight consumers, customers and employees alike. We collaborate with partners around the world to deliver tangible value on a global scale. We continuously work to develop our people to be future ready
Python, SQL, Machine Learning, Power BI, AWS, Azure,