Data Scientist (MLOps)- part-time job
emagine
Part-time (50%) Data Scientist role for maternity coverage in an IT Retail team. You will drive MLOps initiatives, develop forecasting models, manage Azure infrastructure, and build Databricks Apps (Streamlit). The role requires strong mathematical background in forecasting and hands-on MLOps experience. It's a temporary assignment until April 2027 with possible extension.
Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji.
Brakuje: number of team members, exact azure services used.
Part-time (50%) Data Scientist role for maternity coverage in an IT Retail team. You will drive MLOps initiatives, develop forecasting models, manage Azure infrastructure, and build Databricks Apps (Streamlit). The role requires strong mathematical background in forecasting and hands-on MLOps experience. It's a temporary assignment until April 2027 with possible extension.
- ✓Part-time flexibility
- ✓Clear project end date with possible extension
- ✓Modern stack (Azure, Databricks, Streamlit, MLOps)
- −Temporary maternity coverage (until April 2027) – role not permanent
- −Part-time (50%) allocation – may not suit everyone's financial needs
- −ASAP start – might indicate urgency or backlog
- !No mention of team size or existing MLOps maturity
- !Possibility to scale up is vague
- !No information about knowledge transfer process
- ?Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji
- •Drive and support MLOps initiatives (CI/CD for ML models, monitoring, retraining)
- •Develop, implement, and improve forecasting models (time series, demand forecasting)
- •Manage Azure infrastructure for data science operations (Azure ML, compute, storage)
- •Develop Databricks Apps using Streamlit for interactive dashboards
- •Work with Databricks Asset Bundles for deployment and versioning
- •Collaborate with stakeholders to align AI/modeling initiatives with business needs
- •Ensure knowledge transfer and documentation during the coverage period
Oferta skierowana do developerów z doświadczeniem komercyjnym (Mid).
A mid-level Data Scientist with at least 2-3 years of experience in MLOps and forecasting, proficient in Azure and Databricks, able to work independently from day one.
Junior data scientists without proven MLOps experience, individuals seeking full-time permanent positions, or those not interested in forecasting or Azure/Databricks.
- ?How big is the team I'll be working with?
- ?What is the current state of MLOps practices? Are they already established or need building?
- ?What forecasting models are in use? Are there existing pipelines?
- ?How is knowledge transfer handled for the maternity coverage?
- ?Is there any on-call or after-hours support required?
- ?Are there any additional benefits (training, equipment, etc.)?
- ?What is the recruitment process and timeline?
- −Number of team members
- −Exact Azure services used
- −Current MLOps maturity level
- −Knowledge transfer process
- −Recruitment process details
- −Benefits (if any) beyond hourly rate
Collaborative, business-facing setup with stakeholders; likely a small team within a larger retail IT organization.