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Full-time
postgraduate degree
Commuting Cost Reimbursement, Hybrid Working Model, Health Insurance Discount, Gym Membership Discount, Career Development
Posted 1d ago
~40 hrs/week
Responsibilities
Develop and deploy advanced time-series and machine learning models to accurately predict retailer demand. Collaborate with cross-functional teams and business users to identify modeling opportunities and communicate data-driven insights.
Requirements
Requires a Master's degree in a quantitative field and 2+ years of experience in predictive modeling and demand forecasting. Proficiency in Python, R, SQL, and cloud platforms is essential.
Full job description
Job Description
Job Description
Associate Data Scientist at a glance ...
You will be a key contributor on demand forecasting team. You will build and test statistical and machine learning models to accurately predict demand from our retailers. The models you build will be deployed into a production setting where your models will drive value across all our brands. You will provide updates and results to the Product Owner and Data Science Lead on the progress of your work while partnering with the business users to identify modeling opportunity areas.
Key Ingredients:
Utilize your strong analytical skills and machine learning expertise to develop advanced time-series models for demand forecasting.
Collaborate with cross-functional teams to identify and define business problems related to demand forecasting.
Conduct exploratory data analysis and feature engineering to extract valuable insights from complex datasets.
Develop and implement machine learning algorithms to optimize demand forecasting accuracy and efficiency.
Evaluate and fine-tune models by applying statistical methods and running experiments on real-world data.
Communicate findings and insights to team members and work with the team to define modeling next steps
Recipe for Success: Apply if this sounds like you!
Master's degree in Computer Science, Statistics, Mathematics, or a related field.
2+ years experience with predictive modeling time-series, machine learning, statistical modeling
Experience building demand forecast models
Proficiency in programming languages such as Python and R, as well as libraries like scikit-learn
Knowledge on factors that influence shipment demand
Proficient in SQL and working with relational databases.
Experience using cloud-based services such as AWS, Azure, or Google Cloud
Excellent problem-solving skills and ability to think critically about complex business challenges.
Strong communication skills
Proven ability to work effectively in a collaborative, fast-paced environment.
What we offer you / You deserve:
An ambitious employer: we want to the best for you;
A fast career track like only few other companies can match;
Reimbursement for commuting costs
Hybrid working model
Discount on health insurance and gym membership
Always room for new ideas; if you have an excellent idea, please let us know, and we can set it in action!
We hope to find you a seat at our table!
We grow our people to grow our business. We develop extraordinary people who bring ambition, curiosity, and dedication to the table as the guardians of our beloved and nostalgic brands. We choose greatness every day by challenging the ordinary and making ambitious decisions.
Location(s)
Amsterdam
Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.
The Kraft Heinz Company is one of the largest food and beverage companies in the world, with eight $1 billion+ brands and global sales of approximately $25 billion. We’re a globally trusted producer of high-quality, great-tasting, and nutritious foods for over 150 years. While Kraft Heinz is co-headquartered in Chicago and Pittsburgh, our brands are truly global, with products produced and marketed in over 40 countries. These beloved products include condiments and sauces, cheese and dairy, meals, meats, refreshment beverages, coffee, infant and nutrition products, and numerous other grocery products in a portfolio of more than 200 legacy and emerging brands.
We spark joy around mealtime with our iconic brands, including Kraft, Oscar Mayer, Heinz, Philadelphia, Lunchables, Velveeta, Maxwell House, Capri Sun, Ore-Ida, Kool-Aid, Jell-O, Primal Kitchen, and Classico, among others.
No matter the brand, we’re united under one vision: To sustainably grow by delighting more consumers globally. Bringing this vision to life is our team of 37,000+ food lovers, creative thinkers, and high performers worldwide. Together, we help provide meals to those in need through our global partnership with Rise Against Hunger. We also stand committed to responsible, sustainable practices that extend to every facet of our business, our consumers, and our communities. Every day, we’re transforming the food industry with bold thinking and unprecedented results. If you share our passion – and are ready to create the future, build a legacy, and lead as a global citizen – there’s only one thing to do: join our table and let’s make life delicious!
Offices: 200 E. Randolph St., Suite 7600, Chicago, IL 60601, US
FoodFast Moving Consumer Packaged GoodsCPGand Consumer Packaged GoodsMeat and PoultrySalesFood and BeverageTobaccoManufacturingFood Processing
How many Food & Beverage jobs are open in Amsterdam, Netherlands right now?
There are currently 179 open food & beverage positions in Amsterdam, Netherlands listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Food & Beverage roles in Amsterdam, Netherlands?
Companies currently hiring include Kraft Heinz, HelloFresh, JOE & THE JUICE, Accor, H&M Group, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Food & Beverage jobs in Amsterdam, Netherlands?
Yes — 39 of the 179 open food & beverage positions offer remote or hybrid work (0 remote, 39 hybrid).
How do I apply for Food & Beverage jobs in Amsterdam, Netherlands?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.