HAVI is looking to innovate, optimize, and manage the supply chains of leading brands by designing, building, and deploying scalable product-ready artificial intelligence solutions to support their predictive and prescriptive analytics needs.
Requirements
- 2+ years hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake)
- Experience with Azure Data Factory for orchestration (pipelines, triggers, parameterization, IRs) and integration with ADLS Gen2, Key Vault.
- Strong SQL expertise across large datasets; performance tuning (joins, partitions, file sizing).
- Data quality at scale (e.g., Great Expectations/Deequ), monitoring and alerting; debug/backfill playbooks.
- Experience with DevOps: Git branching, code reviews, unit/integration testing (pytest/dbx), CI/CD (Azure DevOps/GitHub Actions).
- Infrastructure as Code (Terraform or Bicep) for Databricks workspaces, cluster policies, ADF, storage.
- Observability & cost control: Azure Monitor/Log Analytics; cluster sizing, autoscaling, Photon; cost/perf trade-offs.
Responsibilities
- Design, build, and deploy scalable product-ready artificial intelligence solutions to support our predictive and prescriptive analytics needs.
- Act as a trusted partner and advisor to solutions architects and data scientists and become a crucial part of the analytics solution lifecycle – from prototype to production and operations of our data science and advanced analytics solutions in areas such as promotions, supply and demand planning, item/menu level analytics, supply chain simulations, and optimization, competitive benchmarking, and root cause analysis.
- Continuously improve and advance our AI solutions, aligned with evolving industry best practices.
- Responsible for working with the data management, data science, decision science, and technology teams to address supply chain data needs in demand and supply planning, replenishment, pricing, and optimization
- Design and train machine learning (ML) and deep learning (DL) models
- Select appropriate algorithms based on the problem (e.g., classification, regression, NLP, computer vision).
- Deploy models into production environments (e.g., using APIs, cloud platforms).
Other
- This is a hybrid role based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area.
- Relocation assistance is not offered at this time.
- Proven experience collaborating with cross-functional stakeholders (analytics, data governance, product, security) to ship and support data products.
- Starting Salary is $105,000-$125,000 with a 5% targeted bonus
- Please submit an online application with your salary expectations and an indication of your earliest starting date.
