Kraft Heinz
SeniorDataScientist
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“Senior Data Scientist at Kraft Heinz. Skills: machine learning, demand forecasting, time-series models, Python. build statistical and machine learning models. predict demand from retailers”
What You'll Achieve.
optimize our business operations; accurately predict demand; drive value across all our brands; optimize demand forecasting accuracy and efficiency
Industry & Context.
Excellent problem-solving skills; ability to think critically about complex business challenges
What They're Looking For.
Must Have
2+ years experience with predictive modeling time-series, machine learning, statistical modeling, demand forecast models, Python, R, scikit-learn, SQL, working with relational databases, cloud-based services, AWS, Azure, Google Cloud, problem-solving skills, critical thinking, communication skills
Nice to Have
Knowledge on factors that influence shipment demand
What You'll Do.
build statistical and machine learning models
predict demand from retailers
deploy models into production
provide updates and results
partner with business users
identify modeling opportunity areas
develop advanced time-series models
conduct exploratory data analysis
develop and implement machine learning algorithms
evaluate and fine-tune models
communicate findings and insights
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; partnering with the business users; Communicate findings and insights to team members; work with the team to define modeling next steps; work effectively in a collaborative environment
Communication Scope
communication skills
Full Job Description
## _Job Description_ **Senior Data Scientist at a glance...** **Location** : Toronto, ON **Hybrid** (3 days/week) Are you a talented and driven Data Scientist with expertise in machine learning and a passion for building robust pipelines for demand forecasting? We are seeking a skilled individual to join our dynamic team at Kraft Heinz. Join our team and make an impact by leveraging machine learning and demand forecasting to drive data-driven decisions and optimize our business operations! As a Senior Data Scientist, 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. **What 's on the menu?** * 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 now if this sounds like you!** * 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 li
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