EverestDX Inc
Website:
everestdx.com
Job details:
Description
We are looking for a hands-on Data Scientist with strong ML and MLOps skills to deliver production-grade analytics solutions in a fast-paced, agile environment.
You will work across the full ML lifecycle from data exploration to model deployment with a focus on supply chain and commercial analytics.
Key Responsibilities
- Build, deploy, and maintain ML models end-to-end using Azure Databricks and Azure Pipelines
- Write production-quality code in Python/PySpark; contribute actively to team repositories
- Design and scale data pipelines (batch and real-time) using big data technologies
- Collaborate with data and ML engineers on model industrialization and deployment automation
- Translate business problems into modelling solutions and communicate insights to stakeholders
- Research and apply latest ML/AI methodologies; create reusable libraries and documentation
Must-Have Skills
- Python / PySpark / SQL strong hands-on proficiency
- Supervised & unsupervised ML regression, classification, clustering
- Applied statistics distributions, hypothesis testing, regression
- Git, CI/CD workflows, version control best practices
- Azure cloud Databricks and ADF experience
- MLOps MLflow, Kubeflow or equivalent
Good To Have
- Time Series / Demand Forecasting
- NLP, Bayesian methods, Causal Inference, Reinforcement Learning
- Docker, Jenkins, Spark/Hive
- Responsible AI, Distributed ML
- Supply chain or retail domain experience
Qualifications
- B. / B.Tech in Computer Science, Mathematics or related field
- 4+years as a Data Scientist in a production environment
- Experience in supply chain or commercial analytics preferred
- Agile team delivery experience
(ref:hirist.tech)
Click on Apply to know more.