This project is focusing on the campaigns and performance around them! She needs candidates who have experience measuring campaign performance using a model and then automating those results into reports like excel, pdf, power point and PBI! Its called “Measure Automation” but not a lot of people put that in their resumes!
Must Haves:
- 3+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG
- Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK
- Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub
- Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models
- Proactive and action oriented
- Ability to collaborate with, and present to internal and external partners
- Able to learn company systems, processes and tools, and identify opportunities to improve
- Detail oriented and organized
- Ability to meet production deadlines
- Strong communications, interpersonal and organizational skills
- Excellent written and verbal communication skills
- Understanding of intellectual property rights, compliance and enforcement
- Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field required
Plus:
Masters degree or advanced degree
What You'll Be Doing
- Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance
- Partner with product development to define requirements which meet system and customer experience needs for data science projects
- Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables
- Build prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs
- Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology
- Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution
- Responsible to define, document and follow best practices and approve for ML/AI development at Meijer
- Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products
- Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products
- Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy
- Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impactThis job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required